C1 83 BY associations four-genotype CRISPR count-only feasibility 20261109_004035_UTC
Browse files- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/01_42_UniquePair_GenotypeCounts.csv +127 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/02_83_Association_TargetX_CRISPR_Counts.csv +250 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/03_42_Pair_ByLineage_GenotypeCounts.csv +0 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/04_83_Association_TargetX_ByLineage_Counts.csv +0 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/05_83_Association_Discovery_Count_Overview.csv +84 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/06_Feasibility_Summary.json +30 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/07_Source_And_Method_Provenance.json +54 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/08_Methods_And_Interpretation.md +15 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/09_File_Manifest.json +41 -0
- experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/audit_source.py +531 -0
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/01_42_UniquePair_GenotypeCounts.csv
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
A,B,A_symbol,B_symbol,n_C1_associations_for_pair,partition,n00,n01,n10,n11,n_genotypes_observed,all_four_groups_ge5,n_models_total_in_partition
|
| 2 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,all,971,70,126,11,1178,True,1178
|
| 3 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,discovery,767,57,105,9,938,True,938
|
| 4 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,holdout,204,13,21,2,240,False,240
|
| 5 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,all,1078,24,70,6,1178,True,1178
|
| 6 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,discovery,856,19,57,6,938,True,938
|
| 7 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,holdout,222,5,13,0,240,False,240
|
| 8 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,all,1092,10,70,6,1178,True,1178
|
| 9 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,discovery,867,8,58,5,938,True,938
|
| 10 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,holdout,225,2,12,1,240,False,240
|
| 11 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,all,1084,18,70,6,1178,True,1178
|
| 12 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,discovery,859,16,57,6,938,True,938
|
| 13 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,holdout,225,2,13,0,240,False,240
|
| 14 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,all,1092,10,70,6,1178,True,1178
|
| 15 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,discovery,868,7,57,6,938,True,938
|
| 16 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,holdout,224,3,13,0,240,False,240
|
| 17 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,all,1090,12,71,5,1178,True,1178
|
| 18 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,discovery,868,7,58,5,938,True,938
|
| 19 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,holdout,222,5,13,0,240,False,240
|
| 20 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,all,1081,21,67,9,1178,True,1178
|
| 21 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,discovery,860,15,56,7,938,True,938
|
| 22 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,holdout,221,6,11,2,240,False,240
|
| 23 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,all,359,721,54,44,1178,True,1178
|
| 24 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,discovery,285,577,39,37,938,True,938
|
| 25 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,holdout,74,144,15,7,240,True,240
|
| 26 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,all,912,20,235,11,1178,True,1178
|
| 27 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,discovery,727,17,185,9,938,True,938
|
| 28 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,holdout,185,3,50,2,240,False,240
|
| 29 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,all,888,44,232,14,1178,True,1178
|
| 30 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,discovery,705,39,185,9,938,True,938
|
| 31 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,holdout,183,5,47,5,240,True,240
|
| 32 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,all,886,46,238,8,1178,True,1178
|
| 33 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,discovery,705,39,186,8,938,True,938
|
| 34 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,holdout,181,7,52,0,240,False,240
|
| 35 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,all,882,50,198,48,1178,True,1178
|
| 36 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,discovery,704,40,158,36,938,True,938
|
| 37 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,holdout,178,10,40,12,240,True,240
|
| 38 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,all,318,614,95,151,1178,True,1178
|
| 39 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,discovery,250,494,74,120,938,True,938
|
| 40 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,holdout,68,120,21,31,240,True,240
|
| 41 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,all,408,5,758,7,1178,True,1178
|
| 42 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,discovery,320,4,608,6,938,False,938
|
| 43 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,holdout,88,1,150,1,240,False,240
|
| 44 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,all,412,1,755,10,1178,False,1178
|
| 45 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,discovery,323,1,606,8,938,False,938
|
| 46 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,holdout,89,0,149,2,240,False,240
|
| 47 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,all,395,18,752,13,1178,True,1178
|
| 48 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,discovery,308,16,605,9,938,True,938
|
| 49 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,holdout,87,2,147,4,240,False,240
|
| 50 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,all,411,2,755,10,1178,False,1178
|
| 51 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,discovery,322,2,607,7,938,False,938
|
| 52 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,holdout,89,0,148,3,240,False,240
|
| 53 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,all,410,3,753,12,1178,False,1178
|
| 54 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,discovery,321,3,605,9,938,False,938
|
| 55 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,holdout,89,0,148,3,240,False,240
|
| 56 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,all,410,3,751,14,1178,False,1178
|
| 57 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,discovery,322,2,603,11,938,False,938
|
| 58 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,holdout,88,1,148,3,240,False,240
|
| 59 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,all,409,4,758,7,1178,False,1178
|
| 60 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,discovery,321,3,608,6,938,False,938
|
| 61 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,holdout,88,1,150,1,240,False,240
|
| 62 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,all,411,2,759,6,1178,False,1178
|
| 63 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,discovery,322,2,608,6,938,False,938
|
| 64 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,holdout,89,0,151,0,240,False,240
|
| 65 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,all,412,1,757,8,1178,False,1178
|
| 66 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,discovery,323,1,606,8,938,False,938
|
| 67 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,holdout,89,0,151,0,240,False,240
|
| 68 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,all,408,5,757,8,1178,True,1178
|
| 69 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,discovery,319,5,606,8,938,True,938
|
| 70 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,holdout,89,0,151,0,240,False,240
|
| 71 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,all,364,49,638,127,1178,True,1178
|
| 72 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,discovery,284,40,512,102,938,True,938
|
| 73 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,holdout,80,9,126,25,240,True,240
|
| 74 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,all,409,4,753,12,1178,False,1178
|
| 75 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,discovery,320,4,604,10,938,False,938
|
| 76 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,holdout,89,0,149,2,240,False,240
|
| 77 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,all,410,3,756,9,1178,False,1178
|
| 78 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,discovery,321,3,607,7,938,False,938
|
| 79 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,holdout,89,0,149,2,240,False,240
|
| 80 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,all,406,7,756,9,1178,True,1178
|
| 81 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,discovery,317,7,606,8,938,True,938
|
| 82 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,holdout,89,0,150,1,240,False,240
|
| 83 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,all,386,27,734,31,1178,True,1178
|
| 84 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,discovery,304,20,586,28,938,True,938
|
| 85 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,holdout,82,7,148,3,240,False,240
|
| 86 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,all,370,43,685,80,1178,True,1178
|
| 87 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,discovery,290,34,550,64,938,True,938
|
| 88 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,holdout,80,9,135,16,240,True,240
|
| 89 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,all,406,7,749,16,1178,True,1178
|
| 90 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,discovery,317,7,603,11,938,True,938
|
| 91 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,holdout,89,0,146,5,240,False,240
|
| 92 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,all,411,2,754,11,1178,False,1178
|
| 93 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,discovery,322,2,604,10,938,False,938
|
| 94 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,holdout,89,0,150,1,240,False,240
|
| 95 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,all,411,2,757,8,1178,False,1178
|
| 96 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,discovery,322,2,607,7,938,False,938
|
| 97 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,holdout,89,0,150,1,240,False,240
|
| 98 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,all,401,12,705,60,1178,True,1178
|
| 99 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,discovery,316,8,570,44,938,True,938
|
| 100 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,holdout,85,4,135,16,240,False,240
|
| 101 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,all,412,1,757,8,1178,False,1178
|
| 102 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,discovery,323,1,607,7,938,False,938
|
| 103 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,holdout,89,0,150,1,240,False,240
|
| 104 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,all,407,6,749,16,1178,True,1178
|
| 105 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,discovery,321,3,602,12,938,False,938
|
| 106 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,holdout,86,3,147,4,240,False,240
|
| 107 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,all,411,2,757,8,1178,False,1178
|
| 108 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,discovery,323,1,607,7,938,False,938
|
| 109 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,holdout,88,1,150,1,240,False,240
|
| 110 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,all,412,1,759,6,1178,False,1178
|
| 111 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,discovery,323,1,608,6,938,False,938
|
| 112 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,holdout,89,0,151,0,240,False,240
|
| 113 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,all,410,3,755,10,1178,False,1178
|
| 114 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,discovery,322,2,605,9,938,False,938
|
| 115 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,holdout,88,1,150,1,240,False,240
|
| 116 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,all,400,13,745,20,1178,True,1178
|
| 117 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,discovery,315,9,596,18,938,True,938
|
| 118 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,holdout,85,4,149,2,240,False,240
|
| 119 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,all,412,1,757,8,1178,False,1178
|
| 120 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,discovery,323,1,608,6,938,False,938
|
| 121 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,holdout,89,0,149,2,240,False,240
|
| 122 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,all,407,6,750,15,1178,True,1178
|
| 123 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,discovery,319,5,604,10,938,True,938
|
| 124 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,holdout,88,1,146,5,240,False,240
|
| 125 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,all,364,641,49,124,1178,True,1178
|
| 126 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,discovery,289,517,35,97,938,True,938
|
| 127 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,holdout,75,124,14,27,240,True,240
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/02_83_Association_TargetX_CRISPR_Counts.csv
ADDED
|
@@ -0,0 +1,250 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
A,B,A_symbol,B_symbol,n_C1_associations_for_pair,gene,gene_symbol,C1_beta,C1_q_global_BY,partition,n00,n01,n10,n11,n_total_usable_genotypes_and_X,n_00_and_01_ge5,all_four_groups_ge5,strict_n_lineages_with_all_4_ge2,strict_n00,strict_n01,strict_n10,strict_n11,strict_n_models_after_lineage_filter,strict_minimum_count_eligible_only,count_audit_status,note
|
| 2 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,ENTREZ:3845,KRAS,-1.0865308434948422,1.0534306443545161e-22,all,364,49,638,127,1178,True,True,7,81,35,286,77,479,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 3 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,ENTREZ:3845,KRAS,-1.0865308434948422,1.0534306443545161e-22,discovery,284,40,512,102,938,True,True,7,64,28,228,62,382,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 4 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,ENTREZ:3845,KRAS,-1.0865308434948422,1.0534306443545161e-22,holdout,80,9,126,25,240,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 5 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,ENTREZ:673,BRAF,-1.0910946187228885,8.417418398503915e-08,all,882,50,198,48,1178,True,True,2,47,13,63,41,164,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 6 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,ENTREZ:673,BRAF,-1.0910946187228885,8.417418398503915e-08,discovery,704,40,158,36,938,True,True,1,11,8,9,29,57,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 7 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,ENTREZ:673,BRAF,-1.0910946187228885,8.417418398503915e-08,holdout,178,10,40,12,240,True,True,1,3,2,2,10,17,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 8 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,ENTREZ:5290,PIK3CA,-0.6206702665037973,8.899927369258889e-08,all,370,43,685,80,1178,True,True,7,50,35,293,60,438,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 9 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,ENTREZ:5290,PIK3CA,-0.6206702665037973,8.899927369258889e-08,discovery,290,34,550,64,938,True,True,6,38,26,212,45,321,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 10 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,ENTREZ:5290,PIK3CA,-0.6206702665037973,8.899927369258889e-08,holdout,80,9,135,16,240,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 11 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,ENTREZ:4893,NRAS,-1.3350632067960593,6.664587881992054e-07,all,386,27,734,31,1178,True,True,3,84,15,92,18,209,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 12 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,ENTREZ:4893,NRAS,-1.3350632067960593,6.664587881992054e-07,discovery,304,20,586,28,938,True,True,3,66,11,72,16,165,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 13 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,ENTREZ:4893,NRAS,-1.3350632067960593,6.664587881992054e-07,holdout,82,7,148,3,240,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 14 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:9124,PDLIM1,-0.1422393479163315,1.5696863878375136e-06,all,406,7,749,16,1178,True,True,1,7,3,22,2,34,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 15 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:9124,PDLIM1,-0.1422393479163315,1.5696863878375136e-06,discovery,317,7,603,11,938,True,True,1,4,3,18,2,27,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 16 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:9124,PDLIM1,-0.1422393479163315,1.5696863878375136e-06,holdout,89,0,146,5,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 17 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:390999,PRAMEF12,-0.2093218233136288,1.95734414881598e-06,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 18 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:390999,PRAMEF12,-0.2093218233136288,1.95734414881598e-06,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 19 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:390999,PRAMEF12,-0.2093218233136288,1.95734414881598e-06,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 20 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:283078,MKX,-0.1815025660300815,3.740923302395388e-06,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 21 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:283078,MKX,-0.1815025660300815,3.740923302395388e-06,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 22 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:283078,MKX,-0.1815025660300815,3.740923302395388e-06,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 23 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:83901,KRTAP9-8,-0.1076127681410301,1.5309255044966268e-05,all,376,3,655,9,1043,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 24 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:83901,KRTAP9-8,-0.1076127681410301,1.5309255044966268e-05,discovery,295,3,525,6,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 25 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:83901,KRTAP9-8,-0.1076127681410301,1.5309255044966268e-05,holdout,81,0,130,3,214,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 26 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,ENTREZ:84320,ACBD6,-0.1210771384124408,2.084607723909631e-05,all,410,3,751,14,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 27 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,ENTREZ:84320,ACBD6,-0.1210771384124408,2.084607723909631e-05,discovery,322,2,603,11,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 28 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,ENTREZ:84320,ACBD6,-0.1210771384124408,2.084607723909631e-05,holdout,88,1,148,3,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 29 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:146325,PRR35,-0.1507807162573974,3.417850152325546e-05,all,410,3,756,9,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 30 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:146325,PRR35,-0.1507807162573974,3.417850152325546e-05,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 31 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:146325,PRR35,-0.1507807162573974,3.417850152325546e-05,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 32 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:51084,CRYL1,-0.135267586461926,4.094768996444237e-05,all,395,18,752,13,1178,True,True,2,21,5,164,5,195,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 33 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:51084,CRYL1,-0.135267586461926,4.094768996444237e-05,discovery,308,16,605,9,938,True,True,2,16,5,130,5,156,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 34 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:51084,CRYL1,-0.135267586461926,4.094768996444237e-05,holdout,87,2,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 35 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:1719,DHFR,-0.5396753485849619,4.094768996444237e-05,all,383,3,664,9,1059,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 36 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:1719,DHFR,-0.5396753485849619,4.094768996444237e-05,discovery,300,3,533,6,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 37 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:1719,DHFR,-0.5396753485849619,4.094768996444237e-05,holdout,83,0,131,3,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 38 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:7555,CNBP,-0.3940936007462384,5.042486238696814e-05,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 39 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:7555,CNBP,-0.3940936007462384,5.042486238696814e-05,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 40 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:7555,CNBP,-0.3940936007462384,5.042486238696814e-05,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 41 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84885,ZDHHC12,-0.08191342192341,7.378788670067345e-05,all,407,6,749,16,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 42 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84885,ZDHHC12,-0.08191342192341,7.378788670067345e-05,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 43 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84885,ZDHHC12,-0.08191342192341,7.378788670067345e-05,holdout,86,3,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 44 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:1796,DOK1,-0.1548810330665694,9.075594194213218e-05,all,406,7,756,9,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 45 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:1796,DOK1,-0.1548810330665694,9.075594194213218e-05,discovery,317,7,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 46 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:1796,DOK1,-0.1548810330665694,9.075594194213218e-05,holdout,89,0,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 47 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:5479,PPIB,-0.2400078629565078,0.000128279811503,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 48 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:5479,PPIB,-0.2400078629565078,0.000128279811503,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 49 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:5479,PPIB,-0.2400078629565078,0.000128279811503,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 50 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54626,HES2,-0.1669111320160176,0.0002232239196078,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 51 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54626,HES2,-0.1669111320160176,0.0002232239196078,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 52 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54626,HES2,-0.1669111320160176,0.0002232239196078,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 53 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:25841,ABTB2,-0.1567665833091063,0.0007656796535454,all,410,3,753,12,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 54 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:25841,ABTB2,-0.1567665833091063,0.0007656796535454,discovery,321,3,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 55 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:25841,ABTB2,-0.1567665833091063,0.0007656796535454,holdout,89,0,148,3,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 56 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,ENTREZ:7071,KLF10,-0.2761298509541908,0.0012432257601977,all,1090,12,71,5,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 57 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,ENTREZ:7071,KLF10,-0.2761298509541908,0.0012432257601977,discovery,868,7,58,5,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 58 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,ENTREZ:7071,KLF10,-0.2761298509541908,0.0012432257601977,holdout,222,5,13,0,240,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 59 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:341799,OR6S1,-0.1479065712039866,0.0013460748033845,all,382,4,668,5,1059,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 60 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:341799,OR6S1,-0.1479065712039866,0.0013460748033845,discovery,300,3,535,4,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 61 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:341799,OR6S1,-0.1479065712039866,0.0013460748033845,holdout,82,1,133,1,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 62 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:152404,IGSF11,-0.1153289367380744,0.0014202268637536,all,411,2,757,8,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 63 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:152404,IGSF11,-0.1153289367380744,0.0014202268637536,discovery,322,2,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 64 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:152404,IGSF11,-0.1153289367380744,0.0014202268637536,holdout,89,0,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 65 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7157,TP53,-0.6690480767468656,0.0017146919743462,all,318,614,95,151,1178,True,True,9,120,248,72,123,563,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 66 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7157,TP53,-0.6690480767468656,0.0017146919743462,discovery,250,494,74,120,938,True,True,7,90,185,54,73,402,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 67 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7157,TP53,-0.6690480767468656,0.0017146919743462,holdout,68,120,21,31,240,True,True,1,2,3,10,2,17,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 68 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:79944,L2HGDH,-0.1757264475669163,0.001732583607444,all,412,1,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 69 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:79944,L2HGDH,-0.1757264475669163,0.001732583607444,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 70 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:79944,L2HGDH,-0.1757264475669163,0.001732583607444,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 71 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8514,KCNAB2,-0.1505584871536661,0.0023084715114142,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 72 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8514,KCNAB2,-0.1505584871536661,0.0023084715114142,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 73 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8514,KCNAB2,-0.1505584871536661,0.0023084715114142,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 74 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:8387,OR1E1,-0.1654319972269921,0.0023183994508685,all,385,1,664,9,1059,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 75 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:8387,OR1E1,-0.1654319972269921,0.0023183994508685,discovery,302,1,532,7,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 76 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:8387,OR1E1,-0.1654319972269921,0.0023183994508685,holdout,83,0,132,2,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 77 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:4744,NEFH,-0.1811065538630737,0.0024689738843506,all,409,4,758,7,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 78 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:4744,NEFH,-0.1811065538630737,0.0024689738843506,discovery,321,3,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 79 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:4744,NEFH,-0.1811065538630737,0.0024689738843506,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 80 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:9311,ASIC3,-0.0915714228989641,0.0029856584920047,all,408,5,758,7,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 81 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:9311,ASIC3,-0.0915714228989641,0.0029856584920047,discovery,320,4,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 82 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:9311,ASIC3,-0.0915714228989641,0.0029856584920047,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 83 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:181,AGRP,-0.1536190146750028,0.0030356396662749,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 84 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:181,AGRP,-0.1536190146750028,0.0030356396662749,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 85 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:181,AGRP,-0.1536190146750028,0.0030356396662749,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 86 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84107,ZIC4,-0.0963033106393844,0.0030356396662749,all,407,6,749,16,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 87 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84107,ZIC4,-0.0963033106393844,0.0030356396662749,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 88 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84107,ZIC4,-0.0963033106393844,0.0030356396662749,holdout,86,3,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 89 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:50674,NEUROG3,-0.1188177004811183,0.0032110781360152,all,410,3,756,9,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 90 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:50674,NEUROG3,-0.1188177004811183,0.0032110781360152,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 91 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:50674,NEUROG3,-0.1188177004811183,0.0032110781360152,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 92 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10186,LHFPL6,-0.2818135194007482,0.0041032907454287,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 93 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10186,LHFPL6,-0.2818135194007482,0.0041032907454287,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 94 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10186,LHFPL6,-0.2818135194007482,0.0041032907454287,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 95 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,ENTREZ:114799,ESCO1,-0.3168554856726369,0.0041032907454287,all,411,2,755,10,1178,False,False,1,11,2,47,3,63,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 96 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,ENTREZ:114799,ESCO1,-0.3168554856726369,0.0041032907454287,discovery,322,2,607,7,938,False,False,1,9,2,37,2,50,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 97 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,ENTREZ:114799,ESCO1,-0.3168554856726369,0.0041032907454287,holdout,89,0,148,3,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 98 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:283748,PLA2G4D,-0.1880413094768296,0.0041032907454287,all,406,7,756,9,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 99 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:283748,PLA2G4D,-0.1880413094768296,0.0041032907454287,discovery,317,7,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 100 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:283748,PLA2G4D,-0.1880413094768296,0.0041032907454287,holdout,89,0,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 101 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:973,CD79A,-0.0889551208394417,0.0041032907454287,all,407,6,749,16,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 102 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:973,CD79A,-0.0889551208394417,0.0041032907454287,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 103 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:973,CD79A,-0.0889551208394417,0.0041032907454287,holdout,86,3,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 104 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,ENTREZ:440400,RNASEK,-0.4617484781692947,0.0041032907454287,all,87,3,255,4,349,False,False,1,7,2,20,2,31,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 105 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,ENTREZ:440400,RNASEK,-0.4617484781692947,0.0041032907454287,discovery,72,2,202,4,280,False,False,1,5,2,14,2,23,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 106 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,ENTREZ:440400,RNASEK,-0.4617484781692947,0.0041032907454287,holdout,15,1,53,0,69,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 107 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,ENTREZ:7157,TP53,-0.8569077390316492,0.004497865529228,all,359,721,54,44,1178,True,True,4,56,133,46,26,261,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 108 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,ENTREZ:7157,TP53,-0.8569077390316492,0.004497865529228,discovery,285,577,39,37,938,True,True,1,7,13,29,8,57,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 109 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,ENTREZ:7157,TP53,-0.8569077390316492,0.004497865529228,holdout,74,144,15,7,240,True,True,1,2,3,10,2,17,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 110 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:4129,MAOB,-0.0731544464992825,0.004497865529228,all,411,2,757,8,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 111 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:4129,MAOB,-0.0731544464992825,0.004497865529228,discovery,322,2,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 112 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:4129,MAOB,-0.0731544464992825,0.004497865529228,holdout,89,0,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 113 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,ENTREZ:1871,E2F3,-0.5449616367402317,0.004497865529228,all,401,12,705,60,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 114 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,ENTREZ:1871,E2F3,-0.5449616367402317,0.004497865529228,discovery,316,8,570,44,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 115 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,ENTREZ:1871,E2F3,-0.5449616367402317,0.004497865529228,holdout,85,4,135,16,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 116 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:401089,FOXL2NB,-0.1374364504290243,0.004497865529228,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 117 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:401089,FOXL2NB,-0.1374364504290243,0.004497865529228,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 118 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:401089,FOXL2NB,-0.1374364504290243,0.004497865529228,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 119 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,ENTREZ:644591,PPIAL4G,-0.2444700948887266,0.0047627364908525,all,959,23,57,4,1043,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 120 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,ENTREZ:644591,PPIAL4G,-0.2444700948887266,0.0047627364908525,discovery,761,18,46,4,829,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 121 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,ENTREZ:644591,PPIAL4G,-0.2444700948887266,0.0047627364908525,holdout,198,5,11,0,214,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 122 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,ENTREZ:116238,TLCD1,-0.2898273088966892,0.0050599937621633,all,1092,10,70,6,1178,True,True,1,27,2,2,3,34,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 123 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,ENTREZ:116238,TLCD1,-0.2898273088966892,0.0050599937621633,discovery,868,7,57,6,938,True,True,1,20,2,2,3,27,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 124 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,ENTREZ:116238,TLCD1,-0.2898273088966892,0.0050599937621633,holdout,224,3,13,0,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 125 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:440560,PRAMEF11,-0.2067843319398499,0.0052896386215695,all,376,3,655,9,1043,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 126 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:440560,PRAMEF11,-0.2067843319398499,0.0052896386215695,discovery,295,3,525,6,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 127 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:440560,PRAMEF11,-0.2067843319398499,0.0052896386215695,holdout,81,0,130,3,214,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 128 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:6691,SPINK2,-0.0844584975568722,0.0058493552294238,all,407,6,749,16,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 129 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:6691,SPINK2,-0.0844584975568722,0.0058493552294238,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 130 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:6691,SPINK2,-0.0844584975568722,0.0058493552294238,holdout,86,3,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 131 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,ENTREZ:414062,CCL3L3,-0.1796015702170288,0.0061446316441952,all,986,10,60,3,1059,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 132 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,ENTREZ:414062,CCL3L3,-0.1796015702170288,0.0061446316441952,discovery,782,8,50,2,842,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 133 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,ENTREZ:414062,CCL3L3,-0.1796015702170288,0.0061446316441952,holdout,204,2,10,1,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 134 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,ENTREZ:5557,PRIM1,-0.5040968774574667,0.0061446316441952,all,412,1,757,8,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 135 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,ENTREZ:5557,PRIM1,-0.5040968774574667,0.0061446316441952,discovery,323,1,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 136 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,ENTREZ:5557,PRIM1,-0.5040968774574667,0.0061446316441952,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 137 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,ENTREZ:26595,OR8B2,-0.2288547916266942,0.0069549565889926,all,979,17,59,4,1059,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 138 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,ENTREZ:26595,OR8B2,-0.2288547916266942,0.0069549565889926,discovery,775,15,48,4,842,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 139 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,ENTREZ:26595,OR8B2,-0.2288547916266942,0.0069549565889926,holdout,204,2,11,0,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 140 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:23097,CDK19,-0.0833633961359934,0.0071779348412724,all,395,18,752,13,1178,True,True,2,21,5,164,5,195,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 141 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:23097,CDK19,-0.0833633961359934,0.0071779348412724,discovery,308,16,605,9,938,True,True,2,16,5,130,5,156,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 142 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:23097,CDK19,-0.0833633961359934,0.0071779348412724,holdout,87,2,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 143 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8706,B3GALNT1,-0.1077295170110197,0.0083540697755121,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 144 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8706,B3GALNT1,-0.1077295170110197,0.0083540697755121,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 145 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8706,B3GALNT1,-0.1077295170110197,0.0083540697755121,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 146 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:10542,LAMTOR5,-0.0787500030745661,0.0085555424069587,all,407,6,749,16,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 147 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:10542,LAMTOR5,-0.0787500030745661,0.0085555424069587,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 148 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:10542,LAMTOR5,-0.0787500030745661,0.0085555424069587,holdout,86,3,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 149 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,ENTREZ:124446,TMEM219,-0.1348543304511846,0.0107003062817285,all,408,5,757,8,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 150 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,ENTREZ:124446,TMEM219,-0.1348543304511846,0.0107003062817285,discovery,319,5,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 151 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,ENTREZ:124446,TMEM219,-0.1348543304511846,0.0107003062817285,holdout,89,0,151,0,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 152 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:4850,CNOT4,-0.216565427692534,0.0107003062817285,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 153 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:4850,CNOT4,-0.216565427692534,0.0107003062817285,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 154 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:4850,CNOT4,-0.216565427692534,0.0107003062817285,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 155 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,ENTREZ:7157,TP53,-0.5935115896585544,0.0114166227198995,all,364,641,49,124,1178,True,True,7,127,254,36,87,504,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 156 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,ENTREZ:7157,TP53,-0.5935115896585544,0.0114166227198995,discovery,289,517,35,97,938,True,True,6,80,194,25,65,364,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 157 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,ENTREZ:7157,TP53,-0.5935115896585544,0.0114166227198995,holdout,75,124,14,27,240,True,True,1,6,2,6,3,17,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 158 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,ENTREZ:64757,MTARC1,-0.1974744369246595,0.0123346905276693,all,385,1,669,4,1059,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 159 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,ENTREZ:64757,MTARC1,-0.1974744369246595,0.0123346905276693,discovery,302,1,536,3,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 160 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,ENTREZ:64757,MTARC1,-0.1974744369246595,0.0123346905276693,holdout,83,0,133,1,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 161 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:23219,FBXO28,-0.214505765929011,0.0143237883927793,all,410,3,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 162 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:23219,FBXO28,-0.214505765929011,0.0143237883927793,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 163 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:23219,FBXO28,-0.214505765929011,0.0143237883927793,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 164 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:23521,RPL13A,-0.3952742324314789,0.0151618182850721,all,89,1,255,4,349,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 165 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:23521,RPL13A,-0.3952742324314789,0.0151618182850721,discovery,73,1,203,3,280,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 166 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:23521,RPL13A,-0.3952742324314789,0.0151618182850721,holdout,16,0,52,1,69,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 167 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,ENTREZ:57523,NYNRIN,-0.1017390271880533,0.0166487794727445,all,412,1,759,6,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 168 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,ENTREZ:57523,NYNRIN,-0.1017390271880533,0.0166487794727445,discovery,323,1,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 169 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,ENTREZ:57523,NYNRIN,-0.1017390271880533,0.0166487794727445,holdout,89,0,151,0,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 170 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:8326,FZD9,-0.2010611087613321,0.0172441640732751,all,412,1,757,8,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 171 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:8326,FZD9,-0.2010611087613321,0.0172441640732751,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 172 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:8326,FZD9,-0.2010611087613321,0.0172441640732751,holdout,89,0,151,0,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 173 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,ENTREZ:54785,BORCS6,-0.1445554626407885,0.0172441640732751,all,407,6,750,15,1178,True,True,1,5,2,57,5,69,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 174 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,ENTREZ:54785,BORCS6,-0.1445554626407885,0.0172441640732751,discovery,319,5,604,10,938,True,True,1,4,2,45,4,55,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 175 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,ENTREZ:54785,BORCS6,-0.1445554626407885,0.0172441640732751,holdout,88,1,146,5,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 176 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:51704,GPRC5B,-0.0958667672246681,0.0175594110060487,all,412,1,757,8,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 177 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:51704,GPRC5B,-0.0958667672246681,0.0175594110060487,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 178 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:51704,GPRC5B,-0.0958667672246681,0.0175594110060487,holdout,89,0,151,0,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 179 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,ENTREZ:140807,KRT72,-0.122119019062041,0.0179667427867766,all,886,46,238,8,1178,True,True,2,69,4,74,4,151,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 180 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,ENTREZ:140807,KRT72,-0.122119019062041,0.0179667427867766,discovery,705,39,186,8,938,True,True,1,37,2,21,2,62,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 181 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,ENTREZ:140807,KRT72,-0.122119019062041,0.0179667427867766,holdout,181,7,52,0,240,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 182 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:283092,OR4C13,-0.1230702768483216,0.0207457892894407,all,383,3,664,9,1059,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 183 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:283092,OR4C13,-0.1230702768483216,0.0207457892894407,discovery,300,3,533,6,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 184 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:283092,OR4C13,-0.1230702768483216,0.0207457892894407,holdout,83,0,131,3,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 185 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,ENTREZ:401089,FOXL2NB,-0.1381501063083409,0.0217222432862444,all,411,2,759,6,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 186 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,ENTREZ:401089,FOXL2NB,-0.1381501063083409,0.0217222432862444,discovery,322,2,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 187 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,ENTREZ:401089,FOXL2NB,-0.1381501063083409,0.0217222432862444,holdout,89,0,151,0,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 188 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7158,TP53BP1,-0.267368024970112,0.0218223005748457,all,318,614,95,151,1178,True,True,9,120,248,72,123,563,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 189 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7158,TP53BP1,-0.267368024970112,0.0218223005748457,discovery,250,494,74,120,938,True,True,7,90,185,54,73,402,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 190 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7158,TP53BP1,-0.267368024970112,0.0218223005748457,holdout,68,120,21,31,240,True,True,1,2,3,10,2,17,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 191 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,ENTREZ:4893,NRAS,-1.43378483684841,0.0224594394414939,all,888,44,232,14,1178,True,True,1,19,5,44,6,74,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 192 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,ENTREZ:4893,NRAS,-1.43378483684841,0.0224594394414939,discovery,705,39,185,9,938,True,True,1,14,5,34,4,57,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 193 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,ENTREZ:4893,NRAS,-1.43378483684841,0.0224594394414939,holdout,183,5,47,5,240,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 194 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,ENTREZ:91612,CHURC1,-0.237494447867264,0.0235289953714692,all,971,70,126,11,1178,True,True,2,136,20,39,5,200,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 195 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,ENTREZ:91612,CHURC1,-0.237494447867264,0.0235289953714692,discovery,767,57,105,9,938,True,True,1,77,9,12,3,101,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 196 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,ENTREZ:91612,CHURC1,-0.237494447867264,0.0235289953714692,holdout,204,13,21,2,240,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 197 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:135250,RAET1E,-0.1145894515087665,0.0250206574402286,all,409,4,753,12,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 198 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:135250,RAET1E,-0.1145894515087665,0.0250206574402286,discovery,320,4,604,10,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 199 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:135250,RAET1E,-0.1145894515087665,0.0250206574402286,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 200 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:3346,HTN1,-0.1259886601883399,0.0253882890854729,all,383,3,664,9,1059,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 201 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:3346,HTN1,-0.1259886601883399,0.0253882890854729,discovery,300,3,533,6,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 202 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:3346,HTN1,-0.1259886601883399,0.0253882890854729,holdout,83,0,131,3,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 203 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:2237,FEN1,-0.4536906371662967,0.0282873702239352,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 204 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:2237,FEN1,-0.4536906371662967,0.0282873702239352,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 205 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:2237,FEN1,-0.4536906371662967,0.0282873702239352,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 206 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:29993,PACSIN1,-0.0883223839402675,0.0282873702239352,all,406,7,749,16,1178,True,True,1,7,3,22,2,34,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 207 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:29993,PACSIN1,-0.0883223839402675,0.0282873702239352,discovery,317,7,603,11,938,True,True,1,4,3,18,2,27,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 208 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:29993,PACSIN1,-0.0883223839402675,0.0282873702239352,holdout,89,0,146,5,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 209 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:55111,PLEKHJ1,-0.0988522423899898,0.0293903111961731,all,412,1,755,10,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 210 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:55111,PLEKHJ1,-0.0988522423899898,0.0293903111961731,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 211 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:55111,PLEKHJ1,-0.0988522423899898,0.0293903111961731,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 212 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:343563,OR2T29,-0.2318752524911528,0.0317443418368006,all,377,2,659,5,1043,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 213 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:343563,OR2T29,-0.2318752524911528,0.0317443418368006,discovery,296,2,526,5,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 214 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:343563,OR2T29,-0.2318752524911528,0.0317443418368006,holdout,81,0,133,0,214,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 215 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,ENTREZ:64506,CPEB1,-0.2019198390993498,0.0324387023406142,all,1081,21,67,9,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 216 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,ENTREZ:64506,CPEB1,-0.2019198390993498,0.0324387023406142,discovery,860,15,56,7,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 217 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,ENTREZ:64506,CPEB1,-0.2019198390993498,0.0324387023406142,holdout,221,6,11,2,240,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 218 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:944,TNFSF8,-0.0906311587524504,0.0362602484279554,all,410,3,756,9,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 219 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:944,TNFSF8,-0.0906311587524504,0.0362602484279554,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 220 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:944,TNFSF8,-0.0906311587524504,0.0362602484279554,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 221 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:55890,GPRC5C,-0.0920730111939592,0.0362602484279554,all,406,7,756,9,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 222 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:55890,GPRC5C,-0.0920730111939592,0.0362602484279554,discovery,317,7,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 223 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:55890,GPRC5C,-0.0920730111939592,0.0362602484279554,holdout,89,0,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 224 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54629,MINDY2,-0.2287829896913836,0.0405790001671739,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 225 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54629,MINDY2,-0.2287829896913836,0.0405790001671739,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 226 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54629,MINDY2,-0.2287829896913836,0.0405790001671739,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 227 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,ENTREZ:645745,MT1HL1,-0.2553658145987825,0.0441125099048661,all,384,1,668,4,1057,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 228 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,ENTREZ:645745,MT1HL1,-0.2553658145987825,0.0441125099048661,discovery,301,1,535,3,840,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 229 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,ENTREZ:645745,MT1HL1,-0.2553658145987825,0.0441125099048661,holdout,83,0,133,1,217,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 230 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:641455,POTEM,-0.2080804309506163,0.0445955864436133,all,377,2,659,5,1043,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 231 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:641455,POTEM,-0.2080804309506163,0.0445955864436133,discovery,296,2,526,5,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 232 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:641455,POTEM,-0.2080804309506163,0.0445955864436133,holdout,81,0,133,0,214,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 233 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:57606,SLAIN2,-0.1082138559686604,0.0456443471710318,all,395,18,752,13,1178,True,True,2,21,5,164,5,195,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 234 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:57606,SLAIN2,-0.1082138559686604,0.0456443471710318,discovery,308,16,605,9,938,True,True,2,16,5,130,5,156,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 235 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:57606,SLAIN2,-0.1082138559686604,0.0456443471710318,holdout,87,2,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 236 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10553,HTATIP2,-0.2353982587849002,0.0459608443061465,all,912,20,235,11,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 237 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10553,HTATIP2,-0.2353982587849002,0.0459608443061465,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 238 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10553,HTATIP2,-0.2353982587849002,0.0459608443061465,holdout,185,3,50,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 239 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:79751,SLC25A22,-0.1808131138594747,0.0487598734705691,all,407,6,749,16,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 240 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:79751,SLC25A22,-0.1808131138594747,0.0487598734705691,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 241 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:79751,SLC25A22,-0.1808131138594747,0.0487598734705691,holdout,86,3,147,4,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 242 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:1026,CDKN1A,-0.3248516515795884,0.0489841247343272,all,318,614,95,151,1178,True,True,9,120,248,72,123,563,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 243 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:1026,CDKN1A,-0.3248516515795884,0.0489841247343272,discovery,250,494,74,120,938,True,True,7,90,185,54,73,402,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 244 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:1026,CDKN1A,-0.3248516515795884,0.0489841247343272,holdout,68,120,21,31,240,True,True,1,2,3,10,2,17,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 245 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:124975,GGT6,-0.1387908150420942,0.0489975920802815,all,410,3,756,9,1178,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 246 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:124975,GGT6,-0.1387908150420942,0.0489975920802815,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 247 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:124975,GGT6,-0.1387908150420942,0.0489975920802815,holdout,89,0,149,2,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 248 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:1843,DUSP1,-0.1644311717459073,0.0494092054869053,all,408,5,758,7,1178,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 249 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:1843,DUSP1,-0.1644311717459073,0.0494092054869053,discovery,320,4,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 250 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:1843,DUSP1,-0.1644311717459073,0.0494092054869053,holdout,88,1,150,1,240,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/03_42_Pair_ByLineage_GenotypeCounts.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/04_83_Association_TargetX_ByLineage_Counts.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/05_83_Association_Discovery_Count_Overview.csv
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
A,B,A_symbol,B_symbol,n_C1_associations_for_pair,gene,gene_symbol,C1_beta,C1_q_global_BY,partition,n00,n01,n10,n11,n_total_usable_genotypes_and_X,n_00_and_01_ge5,all_four_groups_ge5,strict_n_lineages_with_all_4_ge2,strict_n00,strict_n01,strict_n10,strict_n11,strict_n_models_after_lineage_filter,strict_minimum_count_eligible_only,count_audit_status,note
|
| 2 |
+
ENTREZ:7157,ENTREZ:3845,TP53,KRAS,1,ENTREZ:3845,KRAS,-1.0865308434948422,1.0534306443545161e-22,discovery,284,40,512,102,938,True,True,7,64,28,228,62,382,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 3 |
+
ENTREZ:7015,ENTREZ:673,TERT,BRAF,1,ENTREZ:673,BRAF,-1.0910946187228885,8.417418398503915e-08,discovery,704,40,158,36,938,True,True,1,11,8,9,29,57,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 4 |
+
ENTREZ:7157,ENTREZ:5290,TP53,PIK3CA,1,ENTREZ:5290,PIK3CA,-0.6206702665037973,8.899927369258889e-08,discovery,290,34,550,64,938,True,True,6,38,26,212,45,321,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 5 |
+
ENTREZ:7157,ENTREZ:4893,TP53,NRAS,1,ENTREZ:4893,NRAS,-1.3350632067960593,6.664587881992054e-07,discovery,304,20,586,28,938,True,True,3,66,11,72,16,165,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 6 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:9124,PDLIM1,-0.1422393479163315,1.5696863878375136e-06,discovery,317,7,603,11,938,True,True,1,4,3,18,2,27,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 7 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:390999,PRAMEF12,-0.2093218233136288,1.95734414881598e-06,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 8 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:283078,MKX,-0.1815025660300815,3.740923302395388e-06,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 9 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:83901,KRTAP9-8,-0.1076127681410301,1.5309255044966268e-05,discovery,295,3,525,6,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 10 |
+
ENTREZ:7157,ENTREZ:26047,TP53,CNTNAP2,1,ENTREZ:84320,ACBD6,-0.1210771384124408,2.084607723909631e-05,discovery,322,2,603,11,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 11 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:146325,PRR35,-0.1507807162573974,3.417850152325546e-05,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 12 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:51084,CRYL1,-0.135267586461926,4.094768996444237e-05,discovery,308,16,605,9,938,True,True,2,16,5,130,5,156,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 13 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:1719,DHFR,-0.5396753485849619,4.094768996444237e-05,discovery,300,3,533,6,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 14 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:7555,CNBP,-0.3940936007462384,5.042486238696814e-05,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 15 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84885,ZDHHC12,-0.08191342192341,7.378788670067345e-05,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 16 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:1796,DOK1,-0.1548810330665694,9.075594194213218e-05,discovery,317,7,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 17 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:5479,PPIB,-0.2400078629565078,0.000128279811503,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 18 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54626,HES2,-0.1669111320160176,0.0002232239196078,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 19 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:25841,ABTB2,-0.1567665833091063,0.0007656796535454,discovery,321,3,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 20 |
+
ENTREZ:324,ENTREZ:9585,APC,KIF20B,1,ENTREZ:7071,KLF10,-0.2761298509541908,0.0012432257601977,discovery,868,7,58,5,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 21 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:341799,OR6S1,-0.1479065712039866,0.0013460748033845,discovery,300,3,535,4,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 22 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:152404,IGSF11,-0.1153289367380744,0.0014202268637536,discovery,322,2,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 23 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7157,TP53,-0.6690480767468656,0.0017146919743462,discovery,250,494,74,120,938,True,True,7,90,185,54,73,402,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 24 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:79944,L2HGDH,-0.1757264475669163,0.001732583607444,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 25 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8514,KCNAB2,-0.1505584871536661,0.0023084715114142,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 26 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:8387,OR1E1,-0.1654319972269921,0.0023183994508685,discovery,302,1,532,7,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 27 |
+
ENTREZ:7157,ENTREZ:343450,TP53,KCNT2,2,ENTREZ:4744,NEFH,-0.1811065538630737,0.0024689738843506,discovery,321,3,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 28 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:9311,ASIC3,-0.0915714228989641,0.0029856584920047,discovery,320,4,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 29 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:181,AGRP,-0.1536190146750028,0.0030356396662749,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 30 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:84107,ZIC4,-0.0963033106393844,0.0030356396662749,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 31 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:50674,NEUROG3,-0.1188177004811183,0.0032110781360152,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 32 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10186,LHFPL6,-0.2818135194007482,0.0041032907454287,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 33 |
+
ENTREZ:7157,ENTREZ:158358,TP53,KIAA2026,1,ENTREZ:114799,ESCO1,-0.3168554856726369,0.0041032907454287,discovery,322,2,607,7,938,False,False,1,9,2,37,2,50,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 34 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:283748,PLA2G4D,-0.1880413094768296,0.0041032907454287,discovery,317,7,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 35 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:973,CD79A,-0.0889551208394417,0.0041032907454287,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 36 |
+
ENTREZ:7157,ENTREZ:84162,TP53,BLTP1,1,ENTREZ:440400,RNASEK,-0.4617484781692947,0.0041032907454287,discovery,72,2,202,4,280,False,False,1,5,2,14,2,23,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 37 |
+
ENTREZ:673,ENTREZ:7157,BRAF,TP53,1,ENTREZ:7157,TP53,-0.8569077390316492,0.004497865529228,discovery,285,577,39,37,938,True,True,1,7,13,29,8,57,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 38 |
+
ENTREZ:7157,ENTREZ:55607,TP53,PPP1R9A,2,ENTREZ:4129,MAOB,-0.0731544464992825,0.004497865529228,discovery,322,2,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 39 |
+
ENTREZ:7157,ENTREZ:5925,TP53,RB1,1,ENTREZ:1871,E2F3,-0.5449616367402317,0.004497865529228,discovery,316,8,570,44,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 40 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:401089,FOXL2NB,-0.1374364504290243,0.004497865529228,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 41 |
+
ENTREZ:324,ENTREZ:10664,APC,CTCF,1,ENTREZ:644591,PPIAL4G,-0.2444700948887266,0.0047627364908525,discovery,761,18,46,4,829,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 42 |
+
ENTREZ:324,ENTREZ:84159,APC,ARID5B,1,ENTREZ:116238,TLCD1,-0.2898273088966892,0.0050599937621633,discovery,868,7,57,6,938,True,True,1,20,2,2,3,27,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 43 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:440560,PRAMEF11,-0.2067843319398499,0.0052896386215695,discovery,295,3,525,6,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 44 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:6691,SPINK2,-0.0844584975568722,0.0058493552294238,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 45 |
+
ENTREZ:324,ENTREZ:55252,APC,ASXL2,1,ENTREZ:414062,CCL3L3,-0.1796015702170288,0.0061446316441952,discovery,782,8,50,2,842,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 46 |
+
ENTREZ:7157,ENTREZ:896,TP53,CCND3,1,ENTREZ:5557,PRIM1,-0.5040968774574667,0.0061446316441952,discovery,323,1,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 47 |
+
ENTREZ:324,ENTREZ:7468,APC,NSD2,1,ENTREZ:26595,OR8B2,-0.2288547916266942,0.0069549565889926,discovery,775,15,48,4,842,True,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 48 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:23097,CDK19,-0.0833633961359934,0.0071779348412724,discovery,308,16,605,9,938,True,True,2,16,5,130,5,156,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 49 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:8706,B3GALNT1,-0.1077295170110197,0.0083540697755121,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 50 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:10542,LAMTOR5,-0.0787500030745661,0.0085555424069587,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 51 |
+
ENTREZ:7157,ENTREZ:3739,TP53,KCNA4,1,ENTREZ:124446,TMEM219,-0.1348543304511846,0.0107003062817285,discovery,319,5,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 52 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:4850,CNOT4,-0.216565427692534,0.0107003062817285,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 53 |
+
ENTREZ:7273,ENTREZ:7157,TTN,TP53,1,ENTREZ:7157,TP53,-0.5935115896585544,0.0114166227198995,discovery,289,517,35,97,938,True,True,6,80,194,25,65,364,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 54 |
+
ENTREZ:7157,ENTREZ:6416,TP53,MAP2K4,1,ENTREZ:64757,MTARC1,-0.1974744369246595,0.0123346905276693,discovery,302,1,536,3,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 55 |
+
ENTREZ:7157,ENTREZ:83990,TP53,BRIP1,7,ENTREZ:23219,FBXO28,-0.214505765929011,0.0143237883927793,discovery,322,2,605,9,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 56 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:23521,RPL13A,-0.3952742324314789,0.0151618182850721,discovery,73,1,203,3,280,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 57 |
+
ENTREZ:7157,ENTREZ:81930,TP53,KIF18A,1,ENTREZ:57523,NYNRIN,-0.1017390271880533,0.0166487794727445,discovery,323,1,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 58 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:8326,FZD9,-0.2010611087613321,0.0172441640732751,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 59 |
+
ENTREZ:7157,ENTREZ:999,TP53,CDH1,1,ENTREZ:54785,BORCS6,-0.1445554626407885,0.0172441640732751,discovery,319,5,604,10,938,True,True,1,4,2,45,4,55,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 60 |
+
ENTREZ:7157,ENTREZ:3717,TP53,JAK2,2,ENTREZ:51704,GPRC5B,-0.0958667672246681,0.0175594110060487,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 61 |
+
ENTREZ:7015,ENTREZ:53353,TERT,LRP1B,1,ENTREZ:140807,KRT72,-0.122119019062041,0.0179667427867766,discovery,705,39,186,8,938,True,True,1,37,2,21,2,62,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 62 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:283092,OR4C13,-0.1230702768483216,0.0207457892894407,discovery,300,3,533,6,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 63 |
+
ENTREZ:7157,ENTREZ:345895,TP53,RSPH4A,1,ENTREZ:401089,FOXL2NB,-0.1381501063083409,0.0217222432862444,discovery,322,2,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 64 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:7158,TP53BP1,-0.267368024970112,0.0218223005748457,discovery,250,494,74,120,938,True,True,7,90,185,54,73,402,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 65 |
+
ENTREZ:7015,ENTREZ:4893,TERT,NRAS,1,ENTREZ:4893,NRAS,-1.43378483684841,0.0224594394414939,discovery,705,39,185,9,938,True,True,1,14,5,34,4,57,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 66 |
+
ENTREZ:1029,ENTREZ:94025,CDKN2A,MUC16,1,ENTREZ:91612,CHURC1,-0.237494447867264,0.0235289953714692,discovery,767,57,105,9,938,True,True,1,77,9,12,3,101,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 67 |
+
ENTREZ:7157,ENTREZ:387,TP53,RHOA,2,ENTREZ:135250,RAET1E,-0.1145894515087665,0.0250206574402286,discovery,320,4,604,10,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 68 |
+
ENTREZ:7157,ENTREZ:2045,TP53,EPHA7,6,ENTREZ:3346,HTN1,-0.1259886601883399,0.0253882890854729,discovery,300,3,533,6,842,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 69 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:2237,FEN1,-0.4536906371662967,0.0282873702239352,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 70 |
+
ENTREZ:7157,ENTREZ:546,TP53,ATRX,2,ENTREZ:29993,PACSIN1,-0.0883223839402675,0.0282873702239352,discovery,317,7,603,11,938,True,True,1,4,3,18,2,27,False,four_group_count_below_5_after_lineage_filter,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 71 |
+
ENTREZ:7157,ENTREZ:1496,TP53,CTNNA2,3,ENTREZ:55111,PLEKHJ1,-0.0988522423899898,0.0293903111961731,discovery,323,1,606,8,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 72 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:343563,OR2T29,-0.2318752524911528,0.0317443418368006,discovery,296,2,526,5,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 73 |
+
ENTREZ:324,ENTREZ:9699,APC,RIMS2,1,ENTREZ:64506,CPEB1,-0.2019198390993498,0.0324387023406142,discovery,860,15,56,7,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 74 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:944,TNFSF8,-0.0906311587524504,0.0362602484279554,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 75 |
+
ENTREZ:7157,ENTREZ:4683,TP53,NBN,3,ENTREZ:55890,GPRC5C,-0.0920730111939592,0.0362602484279554,discovery,317,7,606,8,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 76 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:54629,MINDY2,-0.2287829896913836,0.0405790001671739,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 77 |
+
ENTREZ:7157,ENTREZ:8028,TP53,MLLT10,1,ENTREZ:645745,MT1HL1,-0.2553658145987825,0.0441125099048661,discovery,301,1,535,3,840,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 78 |
+
ENTREZ:7157,ENTREZ:54790,TP53,TET2,2,ENTREZ:641455,POTEM,-0.2080804309506163,0.0445955864436133,discovery,296,2,526,5,829,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 79 |
+
ENTREZ:7157,ENTREZ:1499,TP53,CTNNB1,3,ENTREZ:57606,SLAIN2,-0.1082138559686604,0.0456443471710318,discovery,308,16,605,9,938,True,True,2,16,5,130,5,156,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 80 |
+
ENTREZ:7015,ENTREZ:472,TERT,ATM,8,ENTREZ:10553,HTATIP2,-0.2353982587849002,0.0459608443061465,discovery,727,17,185,9,938,True,True,0,0,0,0,0,0,False,no_lineage_with_all_4_groups_ge2,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 81 |
+
ENTREZ:7157,ENTREZ:80243,TP53,PREX2,6,ENTREZ:79751,SLC25A22,-0.1808131138594747,0.0487598734705691,discovery,321,3,602,12,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 82 |
+
ENTREZ:7015,ENTREZ:7157,TERT,TP53,3,ENTREZ:1026,CDKN1A,-0.3248516515795884,0.0489841247343272,discovery,250,494,74,120,938,True,True,7,90,185,54,73,402,True,count_eligible_regression_not_run,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 83 |
+
ENTREZ:7157,ENTREZ:460,TP53,ASTN1,4,ENTREZ:124975,GGT6,-0.1387908150420942,0.0489975920802815,discovery,321,3,607,7,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
| 84 |
+
ENTREZ:7157,ENTREZ:127255,TP53,LRRIQ3,2,ENTREZ:1843,DUSP1,-0.1644311717459073,0.0494092054869053,discovery,320,4,608,6,938,False,False,0,0,0,0,0,0,False,at_least_one_group_below_5_usable_CRISPR_models,Count-only; no regression/rank/df/HC3/p-value/FDR performed
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/06_Feasibility_Summary.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"analysis_date_utc": "2026-11-09T00:41:06.381424+00:00",
|
| 3 |
+
"discovery_not_count_eligible_reason_distribution": {
|
| 4 |
+
"at_least_one_group_below_5_usable_CRISPR_models": 49,
|
| 5 |
+
"count_eligible_regression_not_run": 12,
|
| 6 |
+
"four_group_count_below_5_after_lineage_filter": 7,
|
| 7 |
+
"no_lineage_with_all_4_groups_ge2": 15
|
| 8 |
+
},
|
| 9 |
+
"n_C1_associations": 83,
|
| 10 |
+
"n_associations_discovery_all_4_ge5_before_lineage_filter": 34,
|
| 11 |
+
"n_associations_discovery_both_00_01_ge5": 37,
|
| 12 |
+
"n_associations_discovery_n00_ge5": 83,
|
| 13 |
+
"n_associations_discovery_n01_ge5": 37,
|
| 14 |
+
"n_associations_discovery_strict_lineage_count_eligible": 12,
|
| 15 |
+
"n_discovery_models": 938,
|
| 16 |
+
"n_holdout_models": 240,
|
| 17 |
+
"n_integrated_models": 1178,
|
| 18 |
+
"n_pairs_discovery_both_00_01_ge5": 24,
|
| 19 |
+
"n_pairs_discovery_genotype_all4_ge5": 24,
|
| 20 |
+
"n_pairs_discovery_n00_ge5": 42,
|
| 21 |
+
"n_pairs_discovery_n01_ge5": 24,
|
| 22 |
+
"n_unique_ordered_mutation_pairs": 42,
|
| 23 |
+
"no_fdr_p_values_generated": true,
|
| 24 |
+
"no_main_result_files_changed": true,
|
| 25 |
+
"repo": "Tanvir106/final_comutation",
|
| 26 |
+
"source_depmap_release": "DepMap Public 24Q4 v1 (Figshare 27993248 v1)",
|
| 27 |
+
"strict_count_rule": "In discovery: retain lineages with >=2 X-measured models per each 00/01/10/11 arm; require >=5 per arm after pooling retained lineages. Still require full model estimability checks before statistical testing.",
|
| 28 |
+
"study": "C1 BY<=0.05 83-association CRISPR four-group COUNT-ONLY feasibility",
|
| 29 |
+
"what_this_is_NOT": "Not an A*B interaction regression, not statistical power assurance, not significance or biological validation"
|
| 30 |
+
}
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/07_Source_And_Method_Provenance.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"C1_source_path": "results/Paper_Experiment_Section/Tables/T2_Primary_PanCancer_C1_BY.csv",
|
| 3 |
+
"C1_source_repo_commit_sha": "b66cc3886e8f4491f5502daa2474a0b52e69cce4",
|
| 4 |
+
"C1_source_sha256": "cd9631a561679d7adb5310ec37733538e7da944dea6fa72fcb31f847f6e0a3e8",
|
| 5 |
+
"article_doi": "10.25452/figshare.plus.27993248.v1",
|
| 6 |
+
"c1_hugging_face_repo": "Tanvir106/final_comutation",
|
| 7 |
+
"crispr_target_definition": "Gene X finite CRISPRGeneEffect score, same ModelID as mutations",
|
| 8 |
+
"figshare_article_id": 27993248,
|
| 9 |
+
"figshare_metadata_url": "https://api.figshare.com/v2/articles/27993248/versions/1",
|
| 10 |
+
"genotype_definition": "OR(damaging,hotspot)>0; zero only when both sources finite zero; otherwise missing; zeros are not guaranteed verified wild-type",
|
| 11 |
+
"holdout_fraction": 0.2,
|
| 12 |
+
"locked_release_doi": "10.25452/figshare.plus.27993248.v1",
|
| 13 |
+
"model_split_seed": 20261026,
|
| 14 |
+
"required_official_files": [
|
| 15 |
+
{
|
| 16 |
+
"bytes": 645696,
|
| 17 |
+
"figshare_file_id": 51065297,
|
| 18 |
+
"name": "Model.csv",
|
| 19 |
+
"role": "model",
|
| 20 |
+
"url": "https://ndownloader.figshare.com/files/51065297",
|
| 21 |
+
"verified_md5": "675210d17675f3517b0ce39a3c274f16"
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"bytes": 428678699,
|
| 25 |
+
"figshare_file_id": 51064667,
|
| 26 |
+
"name": "CRISPRGeneEffect.csv",
|
| 27 |
+
"role": "crispr",
|
| 28 |
+
"url": "https://ndownloader.figshare.com/files/51064667",
|
| 29 |
+
"verified_md5": "6edf7ade09b9b34199210b559d4745d3"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"bytes": 147655356,
|
| 33 |
+
"figshare_file_id": 51065747,
|
| 34 |
+
"name": "OmicsSomaticMutationsMatrixDamaging.csv",
|
| 35 |
+
"role": "damaging",
|
| 36 |
+
"url": "https://ndownloader.figshare.com/files/51065747",
|
| 37 |
+
"verified_md5": "cb20fdbe1cf3b9b0d8ed4f53e1f399b6"
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"bytes": 4210723,
|
| 41 |
+
"figshare_file_id": 51065750,
|
| 42 |
+
"name": "OmicsSomaticMutationsMatrixHotspot.csv",
|
| 43 |
+
"role": "hotspot",
|
| 44 |
+
"url": "https://ndownloader.figshare.com/files/51065750",
|
| 45 |
+
"verified_md5": "a5aeb1deef897ead3c955c372148d840"
|
| 46 |
+
}
|
| 47 |
+
],
|
| 48 |
+
"software": {
|
| 49 |
+
"numpy": "2.1.3",
|
| 50 |
+
"pandas": "2.3.3",
|
| 51 |
+
"python": "3.13.18"
|
| 52 |
+
},
|
| 53 |
+
"version": 1
|
| 54 |
+
}
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/08_Methods_And_Interpretation.md
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Exact 83 C1-association four-group sample-count feasibility audit
|
| 2 |
+
|
| 3 |
+
- Authoritative C1 list: `results/Paper_Experiment_Section/Tables/T2_Primary_PanCancer_C1_BY.csv` from `Tanvir106/final_comutation`, SHA256 `cd9631a561679d7adb5310ec37733538e7da944dea6fa72fcb31f847f6e0a3e8`.
|
| 4 |
+
- Independent fresh counts from **official Figshare DepMap Public 24Q4 v1** raw model, hotspot, damaging and CRISPR gene-effect CSVs.
|
| 5 |
+
- Discovery split: original seed 20261026; original 938/240 partition reproduced.
|
| 6 |
+
- 83 association rows but 42 distinct ordered A/B mutation pairs.
|
| 7 |
+
- Four groups: 00 neither qualifying mutation reported; 01 B-only; 10 A-only; 11 A+B.
|
| 8 |
+
- Zero requires both mutation matrices to have an observed zero; missing is not assumed wild-type.
|
| 9 |
+
- `01_42_...` counts genotype-observed models for each pair (not target-specific).
|
| 10 |
+
- `02_83_...` counts only models with observed genotype A/B **and** finite CRISPR gene-effect score for the *same* target gene X.
|
| 11 |
+
- `03_...` and `04_...` detail lineage counts; `05_...` contains the concise 83-row discovery-only overview.
|
| 12 |
+
- Sample threshold: >=5 per group in pooled four-group records; strict pan-cancer additionally requires >=2 per group within each retained lineage and >=5 per group across those retained lineages.
|
| 13 |
+
- These are **count-only necessary conditions**. No interaction model, design rank, residual df, HC3, p-value or adjusted q-value is calculated. Count eligibility is not statistical significance.
|
| 14 |
+
- `06_Feasibility_Summary.json` and `07_Source_And_Method_Provenance.json` provide evidence and audit metadata.
|
| 15 |
+
- This folder is a separate experimental audit. Existing final_comutation results remain untouched.
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/09_File_Manifest.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"files": {
|
| 3 |
+
"01_42_UniquePair_GenotypeCounts.csv": {
|
| 4 |
+
"bytes": 9068,
|
| 5 |
+
"sha256": "502b96001cbc30259febf49c21c170008cfdf7c9eea9f90765dc07d7003b317b"
|
| 6 |
+
},
|
| 7 |
+
"02_83_Association_TargetX_CRISPR_Counts.csv": {
|
| 8 |
+
"bytes": 63426,
|
| 9 |
+
"sha256": "38fe0156e6a634edf8ee2883fa8931071b7e5f808dba19e6d1129573db6447af"
|
| 10 |
+
},
|
| 11 |
+
"03_42_Pair_ByLineage_GenotypeCounts.csv": {
|
| 12 |
+
"bytes": 251129,
|
| 13 |
+
"sha256": "49f6ccae8a2e222b34c98868c21fd03401069ee3e2e96d481ee8428deacab4fa"
|
| 14 |
+
},
|
| 15 |
+
"04_83_Association_TargetX_ByLineage_Counts.csv": {
|
| 16 |
+
"bytes": 626111,
|
| 17 |
+
"sha256": "016f95e320d705ebbbfd8ee206486b52cf31a52bddc0ac0f44af4d3a6c2bdb12"
|
| 18 |
+
},
|
| 19 |
+
"05_83_Association_Discovery_Count_Overview.csv": {
|
| 20 |
+
"bytes": 21539,
|
| 21 |
+
"sha256": "d540fc5bfca6317e5d293656127a5c7cc306cd5e948746c39262b75b1caedca6"
|
| 22 |
+
},
|
| 23 |
+
"06_Feasibility_Summary.json": {
|
| 24 |
+
"bytes": 1544,
|
| 25 |
+
"sha256": "ed39bc0d932e5cabcfc58bc19f7dbe6db730af52801327839244d688b4492fad"
|
| 26 |
+
},
|
| 27 |
+
"07_Source_And_Method_Provenance.json": {
|
| 28 |
+
"bytes": 2064,
|
| 29 |
+
"sha256": "98fbfc68021ae2a633e6adca805b74f00b2033b52103a3ab72f83aff8352dd4c"
|
| 30 |
+
},
|
| 31 |
+
"08_Methods_And_Interpretation.md": {
|
| 32 |
+
"bytes": 1671,
|
| 33 |
+
"sha256": "d45050295be79ad95222b2416f45fec5834bf8a88e0c25859f2b80dff6a56329"
|
| 34 |
+
},
|
| 35 |
+
"audit_source.py": {
|
| 36 |
+
"bytes": 29832,
|
| 37 |
+
"sha256": "b0d2f2f7a857541edf8df95cf882fc55403ff71a99274bb8e5d5c988ca9d6af6"
|
| 38 |
+
}
|
| 39 |
+
},
|
| 40 |
+
"generated_utc": "2026-11-09T00:41:06.392329+00:00"
|
| 41 |
+
}
|
experimental_runs/C1_83_FourGroup_Count_Feasibility/20261109_004035_UTC/audit_source.py
ADDED
|
@@ -0,0 +1,531 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Count-only feasibility audit of the 83 final_comutation C1 associations.
|
| 2 |
+
|
| 3 |
+
RUN IN KAGGLE with Internet ON and secret HF_TOKEN (Hugging Face write token).
|
| 4 |
+
Inputs:
|
| 5 |
+
- Exactly 83 C1 BY-discovery rows, retrieved via Hugging Face Hub API.
|
| 6 |
+
- Official DepMap Public 24Q4 v1 (Figshare API, version-pinned, MD5 verified):
|
| 7 |
+
Model.csv, CRISPRGeneEffect.csv, OmicsSomaticMutationsMatrixDamaging.csv,
|
| 8 |
+
OmicsSomaticMutationsMatrixHotspot.csv.
|
| 9 |
+
Outputs: count-only CSV reports, audit metadata, and this source file in a NEW
|
| 10 |
+
experimental_runs/ folder of the original public Hugging Face dataset repo.
|
| 11 |
+
No p-values, no interaction regression and no modification of main results.
|
| 12 |
+
"""
|
| 13 |
+
from __future__ import annotations
|
| 14 |
+
|
| 15 |
+
import datetime as dt
|
| 16 |
+
import hashlib
|
| 17 |
+
import json
|
| 18 |
+
import os
|
| 19 |
+
import platform
|
| 20 |
+
import re
|
| 21 |
+
import shutil
|
| 22 |
+
import sys
|
| 23 |
+
import time
|
| 24 |
+
from collections import defaultdict
|
| 25 |
+
from pathlib import Path
|
| 26 |
+
|
| 27 |
+
import numpy as np
|
| 28 |
+
import pandas as pd
|
| 29 |
+
import requests
|
| 30 |
+
from huggingface_hub import CommitOperationAdd, HfApi, hf_hub_download
|
| 31 |
+
|
| 32 |
+
REPO = "Tanvir106/final_comutation"
|
| 33 |
+
REPO_TYPE = "dataset"
|
| 34 |
+
C1_SOURCE = "results/Paper_Experiment_Section/Tables/T2_Primary_PanCancer_C1_BY.csv"
|
| 35 |
+
ARTICLE_ID, VERSION = 27993248, 1
|
| 36 |
+
FIGSHARE_ENDPOINT = f"https://api.figshare.com/v2/articles/{ARTICLE_ID}/versions/{VERSION}"
|
| 37 |
+
RELEASE_DOI = "10.25452/figshare.plus.27993248.v1"
|
| 38 |
+
SEED, HOLDOUT_FRACTION = 20261026, 0.20
|
| 39 |
+
MIN_PER_GROUP = 5
|
| 40 |
+
MIN_PER_GROUP_WITHIN_LINEAGE = 2
|
| 41 |
+
MIN_RESIDUAL_DF = 8
|
| 42 |
+
CSV_FILES = {
|
| 43 |
+
"model": "Model.csv",
|
| 44 |
+
"crispr": "CRISPRGeneEffect.csv",
|
| 45 |
+
"damaging": "OmicsSomaticMutationsMatrixDamaging.csv",
|
| 46 |
+
"hotspot": "OmicsSomaticMutationsMatrixHotspot.csv",
|
| 47 |
+
}
|
| 48 |
+
# Strict source lock copied from the final_comutation core.py (DepMap 24Q4 v1).
|
| 49 |
+
# API metadata and downloaded bytes MUST agree with these pinned records.
|
| 50 |
+
LOCK = {
|
| 51 |
+
"model": (51065297, 645696, "675210d17675f3517b0ce39a3c274f16"),
|
| 52 |
+
"crispr": (51064667, 428678699, "6edf7ade09b9b34199210b559d4745d3"),
|
| 53 |
+
"damaging": (51065747, 147655356, "cb20fdbe1cf3b9b0d8ed4f53e1f399b6"),
|
| 54 |
+
"hotspot": (51065750, 4210723, "a5aeb1deef897ead3c955c372148d840"),
|
| 55 |
+
}
|
| 56 |
+
GENE_RE = re.compile(r"^\s*(.*?)\s*\((\d+)\)\s*$")
|
| 57 |
+
SESSION = requests.Session()
|
| 58 |
+
SESSION.headers.update({"User-Agent": "C1-83-FourGenotype-Feasibility-Audit/1.0"})
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
def now_utc():
|
| 62 |
+
return dt.datetime.now(dt.timezone.utc).isoformat()
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
def save_json(path, obj):
|
| 66 |
+
path.parent.mkdir(parents=True, exist_ok=True)
|
| 67 |
+
path.write_text(json.dumps(obj, indent=2, sort_keys=True, default=str), encoding="utf-8")
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
def sha256(path):
|
| 71 |
+
h = hashlib.sha256()
|
| 72 |
+
with open(path, "rb") as fh:
|
| 73 |
+
for chunk in iter(lambda: fh.read(2**20), b""):
|
| 74 |
+
h.update(chunk)
|
| 75 |
+
return h.hexdigest()
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
def token_for_write():
|
| 79 |
+
for name in ("HF_TOKEN", "HUGGING_FACE_HUB_TOKEN", "HF_HUB_TOKEN"):
|
| 80 |
+
v = os.environ.get(name)
|
| 81 |
+
if v:
|
| 82 |
+
return v
|
| 83 |
+
try:
|
| 84 |
+
from kaggle_secrets import UserSecretsClient
|
| 85 |
+
v = UserSecretsClient().get_secret("HF_TOKEN")
|
| 86 |
+
if v:
|
| 87 |
+
return v
|
| 88 |
+
except Exception:
|
| 89 |
+
pass
|
| 90 |
+
raise RuntimeError("Provide a write-enabled HF_TOKEN as a Kaggle secret (Internet ON).")
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
def api_get_versioned_metadata():
|
| 94 |
+
last = None
|
| 95 |
+
for attempt in range(4):
|
| 96 |
+
try:
|
| 97 |
+
response = SESSION.get(FIGSHARE_ENDPOINT, timeout=(20, 90))
|
| 98 |
+
response.raise_for_status()
|
| 99 |
+
obj = response.json()
|
| 100 |
+
if int(obj.get("id", ARTICLE_ID)) != ARTICLE_ID:
|
| 101 |
+
raise ValueError("Figshare article id changed")
|
| 102 |
+
if int(obj.get("version", VERSION)) != VERSION:
|
| 103 |
+
raise ValueError("Figshare release version changed")
|
| 104 |
+
if not isinstance(obj.get("files"), list):
|
| 105 |
+
raise ValueError("Missing official file inventory")
|
| 106 |
+
return obj
|
| 107 |
+
except Exception as exc:
|
| 108 |
+
last = exc
|
| 109 |
+
if attempt < 3:
|
| 110 |
+
time.sleep(2 ** attempt)
|
| 111 |
+
raise RuntimeError(f"Official Figshare v1 API cannot be read: {last}")
|
| 112 |
+
|
| 113 |
+
|
| 114 |
+
def download_verified(provider_record, role, directory):
|
| 115 |
+
expected_id, expected_size, expected_md5 = LOCK[role]
|
| 116 |
+
filename = CSV_FILES[role]
|
| 117 |
+
if (provider_record.get("name") != filename or
|
| 118 |
+
int(provider_record.get("id", -1)) != expected_id or
|
| 119 |
+
int(provider_record.get("size", -1)) != expected_size or
|
| 120 |
+
str(provider_record.get("computed_md5", "")).lower() != expected_md5):
|
| 121 |
+
raise RuntimeError(f"Official API metadata differs from final research source lock for {role}")
|
| 122 |
+
|
| 123 |
+
dest = directory / filename
|
| 124 |
+
if dest.exists():
|
| 125 |
+
# Reuse only a verified identical source file. Never reuse cached results.
|
| 126 |
+
if dest.stat().st_size == expected_size:
|
| 127 |
+
md5 = hashlib.md5()
|
| 128 |
+
with open(dest, "rb") as fh:
|
| 129 |
+
for part in iter(lambda: fh.read(2**20), b""):
|
| 130 |
+
md5.update(part)
|
| 131 |
+
if md5.hexdigest() == expected_md5:
|
| 132 |
+
print("Verified official raw cache:", filename, flush=True)
|
| 133 |
+
return dest
|
| 134 |
+
dest.unlink()
|
| 135 |
+
url = provider_record.get("download_url") or f"https://ndownloader.figshare.com/files/{expected_id}"
|
| 136 |
+
failure = None
|
| 137 |
+
for attempt in range(4):
|
| 138 |
+
part = dest.with_name(dest.name + ".part")
|
| 139 |
+
try:
|
| 140 |
+
print(f"Downloading official {filename} ({expected_size / 1e6:.1f} MB): attempt {attempt+1}", flush=True)
|
| 141 |
+
with SESSION.get(url, stream=True, timeout=(40, 240)) as response:
|
| 142 |
+
response.raise_for_status()
|
| 143 |
+
if "text/html" in response.headers.get("content-type", "").lower():
|
| 144 |
+
raise RuntimeError("Received HTML instead of CSV bytes")
|
| 145 |
+
with open(part, "wb") as out:
|
| 146 |
+
md5 = hashlib.md5()
|
| 147 |
+
count = 0
|
| 148 |
+
for piece in response.iter_content(chunk_size=2**20):
|
| 149 |
+
if piece:
|
| 150 |
+
out.write(piece)
|
| 151 |
+
md5.update(piece)
|
| 152 |
+
count += len(piece)
|
| 153 |
+
if count != expected_size or md5.hexdigest() != expected_md5:
|
| 154 |
+
raise RuntimeError(f"MD5 or file length mismatch: {filename}")
|
| 155 |
+
part.replace(dest)
|
| 156 |
+
return dest
|
| 157 |
+
except Exception as exc:
|
| 158 |
+
failure = exc
|
| 159 |
+
part.unlink(missing_ok=True)
|
| 160 |
+
if attempt < 3:
|
| 161 |
+
time.sleep(3 * (attempt+1))
|
| 162 |
+
raise RuntimeError(f"Failed verified download {filename}: {failure}")
|
| 163 |
+
|
| 164 |
+
|
| 165 |
+
def canonical_gene(label):
|
| 166 |
+
text = str(label).strip()
|
| 167 |
+
match = GENE_RE.match(text)
|
| 168 |
+
if match:
|
| 169 |
+
return "ENTREZ:" + match.group(2)
|
| 170 |
+
if text.isdecimal():
|
| 171 |
+
return "ENTREZ:" + text
|
| 172 |
+
return "SYMBOL:" + text.upper()
|
| 173 |
+
|
| 174 |
+
|
| 175 |
+
def load_model(path):
|
| 176 |
+
df = pd.read_csv(path, low_memory=False)
|
| 177 |
+
model_col = next((x for x in ("ModelID", "DepMap_ID", "DepMapID", "Unnamed: 0") if x in df), None)
|
| 178 |
+
lineage_col = next((x for x in ("OncotreeLineage", "lineage", "Lineage", "primary_disease", "OncotreePrimaryDisease") if x in df), None)
|
| 179 |
+
if model_col is None or lineage_col is None:
|
| 180 |
+
raise ValueError("Official Model.csv has no expected model/lineage column")
|
| 181 |
+
df = df.rename(columns={model_col: "ModelID", lineage_col: "Lineage"})
|
| 182 |
+
df["ModelID"] = df["ModelID"].astype(str).str.strip()
|
| 183 |
+
if df["ModelID"].duplicated().any():
|
| 184 |
+
raise ValueError("Duplicate ModelID in metadata")
|
| 185 |
+
df["Lineage"] = df["Lineage"].fillna("Unclassified").astype(str)
|
| 186 |
+
return df.set_index("ModelID", drop=True)
|
| 187 |
+
|
| 188 |
+
|
| 189 |
+
def matrix_subset(path, required_gene_keys, kind):
|
| 190 |
+
# Only 42 A/B mutation genes and <=79 CRISPR target genes are loaded into RAM.
|
| 191 |
+
headers = pd.read_csv(path, nrows=0).columns.tolist()
|
| 192 |
+
id_col = headers[0]
|
| 193 |
+
selected, renamed = [], {}
|
| 194 |
+
for h in headers[1:]:
|
| 195 |
+
key = canonical_gene(h)
|
| 196 |
+
if key in required_gene_keys:
|
| 197 |
+
if key in renamed.values():
|
| 198 |
+
raise ValueError(f"Duplicate canonical {key} in {kind}")
|
| 199 |
+
selected.append(h)
|
| 200 |
+
renamed[h] = key
|
| 201 |
+
tab = pd.read_csv(path, usecols=[id_col] + selected, low_memory=False)
|
| 202 |
+
tab = tab.rename(columns={id_col: "ModelID", **renamed})
|
| 203 |
+
tab["ModelID"] = tab["ModelID"].astype(str).str.strip()
|
| 204 |
+
if tab["ModelID"].duplicated().any():
|
| 205 |
+
raise ValueError(f"Duplicate ModelID in {kind}")
|
| 206 |
+
tab = tab.set_index("ModelID", drop=True)
|
| 207 |
+
tab = tab.apply(pd.to_numeric, errors="coerce").astype("float32")
|
| 208 |
+
if kind in ("damaging", "hotspot"):
|
| 209 |
+
v = tab.to_numpy()
|
| 210 |
+
finite = v[np.isfinite(v)]
|
| 211 |
+
if np.any(finite < 0) or np.any(finite != np.floor(finite)):
|
| 212 |
+
raise ValueError(f"Invalid mutation values in {kind}")
|
| 213 |
+
return tab
|
| 214 |
+
|
| 215 |
+
|
| 216 |
+
def load_c1(token, path, revision):
|
| 217 |
+
hf_hub_download(repo_id=REPO, repo_type=REPO_TYPE, filename=C1_SOURCE,
|
| 218 |
+
token=token, revision=revision, local_dir=str(path))
|
| 219 |
+
c1 = pd.read_csv(path / C1_SOURCE)
|
| 220 |
+
expected = ["A", "B", "gene", "A_symbol", "B_symbol", "gene_symbol", "beta", "q_global_BY"]
|
| 221 |
+
absent = [x for x in expected if x not in c1.columns]
|
| 222 |
+
if absent:
|
| 223 |
+
raise ValueError(f"C1 source missing required columns: {absent}")
|
| 224 |
+
if len(c1) != 83 or len(c1[["A", "B"]].drop_duplicates()) != 42:
|
| 225 |
+
raise RuntimeError("Expected 83 final C1 association rows / 42 distinct ordered A/B pairs; verify upstream version")
|
| 226 |
+
if c1[["A", "B", "gene"]].duplicated().any():
|
| 227 |
+
raise ValueError("Duplicate C1 A,B,target key")
|
| 228 |
+
if not (pd.to_numeric(c1["q_global_BY"], errors="coerce") <= 0.05).all():
|
| 229 |
+
raise ValueError("C1 source contains row not meeting global BY <= 0.05")
|
| 230 |
+
if not (pd.to_numeric(c1["beta"], errors="coerce") < 0).all():
|
| 231 |
+
raise ValueError("Unexpected C1 beta direction")
|
| 232 |
+
return c1
|
| 233 |
+
|
| 234 |
+
|
| 235 |
+
def partition_like_final_code(models):
|
| 236 |
+
# Reproduce final_comutation.core.partition_models in the published source.
|
| 237 |
+
discovery, holdout = set(), set()
|
| 238 |
+
patient_col = next((s for s in ("PatientID", "patient_id", "Patient", "patient") if s in models.columns), None)
|
| 239 |
+
for lineage, group in models.groupby("Lineage", sort=True):
|
| 240 |
+
vals = (group[patient_col].fillna(group.index.to_series()).astype(str)
|
| 241 |
+
if patient_col is not None else pd.Series(group.index, index=group.index))
|
| 242 |
+
clusters = defaultdict(list)
|
| 243 |
+
for model_id, val in vals.items():
|
| 244 |
+
clusters[val].append(model_id)
|
| 245 |
+
sorted_clusters = list(clusters.items())
|
| 246 |
+
sorted_clusters.sort(key=lambda x: hashlib.sha256(f"{SEED}|{lineage}|{x[0]}".encode()).hexdigest())
|
| 247 |
+
target = round(len(group) * HOLDOUT_FRACTION)
|
| 248 |
+
assigned = 0
|
| 249 |
+
for _, members in sorted_clusters:
|
| 250 |
+
if assigned < target and len(group)-assigned-len(members) >= 2:
|
| 251 |
+
holdout.update(members)
|
| 252 |
+
assigned += len(members)
|
| 253 |
+
else:
|
| 254 |
+
discovery.update(members)
|
| 255 |
+
if patient_col is not None:
|
| 256 |
+
a = set(models.loc[sorted(discovery), patient_col].dropna().astype(str)) - {"", "nan", "Unknown", "unknown"}
|
| 257 |
+
b = set(models.loc[sorted(holdout), patient_col].dropna().astype(str)) - {"", "nan", "Unknown", "unknown"}
|
| 258 |
+
if a & b:
|
| 259 |
+
raise RuntimeError("Known patient overlap across partitions")
|
| 260 |
+
if discovery & holdout or discovery | holdout != set(models.index):
|
| 261 |
+
raise RuntimeError("Discovery/holdout split integrity failure")
|
| 262 |
+
return discovery, holdout
|
| 263 |
+
|
| 264 |
+
|
| 265 |
+
def mutation_state(dam, hot):
|
| 266 |
+
# Exactly as final_comutation.core.integrate_data:
|
| 267 |
+
# positive if either matrix has >0; zero only if both are finite and zero;
|
| 268 |
+
# otherwise genotype is unresolved/missing. No absent column is assumed WT.
|
| 269 |
+
da = np.asarray(dam, dtype=float)
|
| 270 |
+
ho = np.asarray(hot, dtype=float)
|
| 271 |
+
positive = (np.isfinite(da) & (da > 0)) | (np.isfinite(ho) & (ho > 0))
|
| 272 |
+
negative = np.isfinite(da) & np.isfinite(ho) & (da == 0) & (ho == 0)
|
| 273 |
+
return np.where(positive, 1.0, np.where(negative, 0.0, np.nan))
|
| 274 |
+
|
| 275 |
+
|
| 276 |
+
def count_states(index, ga, gb, measured=None, lineages=None, selection=None):
|
| 277 |
+
keep = np.ones(len(index), dtype=bool)
|
| 278 |
+
if selection is not None:
|
| 279 |
+
keep &= np.fromiter((x in selection for x in index), dtype=bool, count=len(index))
|
| 280 |
+
if measured is not None:
|
| 281 |
+
keep &= measured
|
| 282 |
+
known = keep & np.isfinite(ga) & np.isfinite(gb)
|
| 283 |
+
states = [known & (ga == 0) & (gb == 0),
|
| 284 |
+
known & (ga == 0) & (gb == 1),
|
| 285 |
+
known & (ga == 1) & (gb == 0),
|
| 286 |
+
known & (ga == 1) & (gb == 1)]
|
| 287 |
+
return [int(x.sum()) for x in states], states
|
| 288 |
+
|
| 289 |
+
|
| 290 |
+
def run_audit():
|
| 291 |
+
started = time.monotonic()
|
| 292 |
+
token = token_for_write() # Check early, before downloading >580 MB.
|
| 293 |
+
api = HfApi(token=token)
|
| 294 |
+
info = api.repo_info(repo_id=REPO, repo_type=REPO_TYPE, token=token)
|
| 295 |
+
if info.private:
|
| 296 |
+
raise RuntimeError("Expected existing public final_comutation dataset")
|
| 297 |
+
user = api.whoami(token=token)
|
| 298 |
+
print("Authenticated for Hugging Face upload (token not displayed).", flush=True)
|
| 299 |
+
runid = dt.datetime.now(dt.timezone.utc).strftime("%Y%m%d_%H%M%S_UTC")
|
| 300 |
+
root = Path("/kaggle/working" if Path("/kaggle/working").exists() else "/mnt/data") / f"C1_83_FourGroup_Count_Feasibility_{runid}"
|
| 301 |
+
raw_dir, out = root / "source_cache", root / "audit_results"
|
| 302 |
+
raw_dir.mkdir(parents=True, exist_ok=False)
|
| 303 |
+
out.mkdir(parents=True, exist_ok=False)
|
| 304 |
+
|
| 305 |
+
c1 = load_c1(token, root / "hf_source", info.sha)
|
| 306 |
+
c1_sha = sha256(root / "hf_source" / C1_SOURCE)
|
| 307 |
+
metadata = api_get_versioned_metadata()
|
| 308 |
+
inventory = {f["name"]: f for f in metadata["files"]}
|
| 309 |
+
for role, fname in CSV_FILES.items():
|
| 310 |
+
if fname not in inventory:
|
| 311 |
+
raise RuntimeError(f"Official 24Q4 v1 lacks {fname}")
|
| 312 |
+
raw_files = {role: download_verified(inventory[fname], role, raw_dir)
|
| 313 |
+
for role, fname in CSV_FILES.items()}
|
| 314 |
+
|
| 315 |
+
# For exact original integration, the model-ID intersection must be computed
|
| 316 |
+
# using all 4 required raw files; selecting columns does not change row IDs.
|
| 317 |
+
c1 = c1.reset_index(drop=True)
|
| 318 |
+
genes_ab = set(c1["A"]) | set(c1["B"])
|
| 319 |
+
gene_targets = set(c1["gene"])
|
| 320 |
+
models = load_model(raw_files["model"])
|
| 321 |
+
crispr = matrix_subset(raw_files["crispr"], gene_targets, "crispr")
|
| 322 |
+
dam = matrix_subset(raw_files["damaging"], genes_ab, "damaging")
|
| 323 |
+
hot = matrix_subset(raw_files["hotspot"], genes_ab, "hotspot")
|
| 324 |
+
ids = models.index.intersection(crispr.index).intersection(dam.index).intersection(hot.index)
|
| 325 |
+
if len(ids) != 1178:
|
| 326 |
+
raise RuntimeError(f"Expected 1178 integrated DepMap models but found {len(ids)}")
|
| 327 |
+
models, crispr = models.loc[ids], crispr.loc[ids]
|
| 328 |
+
dam, hot = dam.reindex(index=ids), hot.reindex(index=ids)
|
| 329 |
+
discovery, holdout = partition_like_final_code(models)
|
| 330 |
+
if len(discovery) != 938 or len(holdout) != 240:
|
| 331 |
+
raise RuntimeError(f"The fresh C1 split is not reproduced: {len(discovery)}/{len(holdout)}")
|
| 332 |
+
print("Verified fresh-research model population: 1178; discovery=938; holdout=240", flush=True)
|
| 333 |
+
|
| 334 |
+
# Combine matrices only for required mutation keys. Missing gene columns => all NA.
|
| 335 |
+
geno = pd.DataFrame(index=ids)
|
| 336 |
+
for gene in sorted(genes_ab):
|
| 337 |
+
geno[gene] = mutation_state(dam.get(gene, pd.Series(np.nan, index=ids)),
|
| 338 |
+
hot.get(gene, pd.Series(np.nan, index=ids)))
|
| 339 |
+
lineage_values = models["Lineage"].to_numpy(dtype=str)
|
| 340 |
+
partition_map = {id_: "holdout" if id_ in holdout else "discovery" for id_ in ids}
|
| 341 |
+
partitions = {"all": set(ids), "discovery": discovery, "holdout": holdout}
|
| 342 |
+
|
| 343 |
+
pair_rows, assoc_rows, pair_lineage_rows, assoc_lineage_rows = [], [], [], []
|
| 344 |
+
for (A, B), grp in c1.groupby(["A", "B"], sort=True):
|
| 345 |
+
anchor = grp.iloc[0]
|
| 346 |
+
ga, gb = geno[A].to_numpy(dtype=float), geno[B].to_numpy(dtype=float)
|
| 347 |
+
pair_common = {"A": A, "B": B, "A_symbol": anchor["A_symbol"], "B_symbol": anchor["B_symbol"],
|
| 348 |
+
"n_C1_associations_for_pair": int(len(grp))}
|
| 349 |
+
for partname, selected_ids in partitions.items():
|
| 350 |
+
counts, states = count_states(ids, ga, gb, selection=selected_ids)
|
| 351 |
+
row = {**pair_common, "partition": partname,
|
| 352 |
+
**dict(zip(("n00", "n01", "n10", "n11"), counts)),
|
| 353 |
+
"n_genotypes_observed": sum(counts),
|
| 354 |
+
"all_four_groups_ge5": all(x >= MIN_PER_GROUP for x in counts),
|
| 355 |
+
"n_models_total_in_partition": len(selected_ids)}
|
| 356 |
+
pair_rows.append(row)
|
| 357 |
+
for li in sorted(set(lineage_values)):
|
| 358 |
+
mask = lineage_values == li
|
| 359 |
+
lc = [int((s & mask).sum()) for s in states]
|
| 360 |
+
if sum(lc):
|
| 361 |
+
pair_lineage_rows.append({**pair_common, "partition": partname, "Lineage": li,
|
| 362 |
+
**dict(zip(("n00", "n01", "n10", "n11"), lc)),
|
| 363 |
+
"all_four_ge2": all(x >= MIN_PER_GROUP_WITHIN_LINEAGE for x in lc)})
|
| 364 |
+
|
| 365 |
+
for rec in grp.itertuples(index=False):
|
| 366 |
+
target = rec.gene
|
| 367 |
+
if target in crispr.columns:
|
| 368 |
+
measured = np.isfinite(crispr[target].to_numpy(dtype=float))
|
| 369 |
+
else:
|
| 370 |
+
measured = np.zeros(len(ids), dtype=bool)
|
| 371 |
+
for partname, selected_ids in partitions.items():
|
| 372 |
+
counts, states = count_states(ids, ga, gb, measured=measured, selection=selected_ids)
|
| 373 |
+
stratified = []
|
| 374 |
+
for li in sorted(set(lineage_values)):
|
| 375 |
+
mask = lineage_values == li
|
| 376 |
+
lc = [int((s & mask).sum()) for s in states]
|
| 377 |
+
if sum(lc):
|
| 378 |
+
pass2 = all(x >= MIN_PER_GROUP_WITHIN_LINEAGE for x in lc)
|
| 379 |
+
assoc_lineage_rows.append({**pair_common, "gene": target, "gene_symbol": rec.gene_symbol,
|
| 380 |
+
"partition": partname, "Lineage": li,
|
| 381 |
+
**dict(zip(("n00", "n01", "n10", "n11"), lc)), "all_four_ge2": pass2})
|
| 382 |
+
if pass2:
|
| 383 |
+
stratified.append((li, lc))
|
| 384 |
+
restricted = [sum(z[i] for _, z in stratified) for i in range(4)]
|
| 385 |
+
raw_counts_good = all(x >= MIN_PER_GROUP for x in counts)
|
| 386 |
+
stringent_counts_good = all(x >= MIN_PER_GROUP for x in restricted) and bool(stratified)
|
| 387 |
+
# No regressions here: meeting count thresholds is NECESSARY, NOT sufficient.
|
| 388 |
+
reason = ("missing_target_X_CRISPR_column" if target not in crispr.columns else
|
| 389 |
+
"at_least_one_group_below_5_usable_CRISPR_models" if not raw_counts_good else
|
| 390 |
+
"no_lineage_with_all_4_groups_ge2" if not stratified else
|
| 391 |
+
"four_group_count_below_5_after_lineage_filter" if not stringent_counts_good else
|
| 392 |
+
"count_eligible_regression_not_run")
|
| 393 |
+
# n_discovery_input = unique C1 signal already tested 10 versus 11 in the original run.
|
| 394 |
+
assoc_rows.append({**pair_common, "gene": target, "gene_symbol": rec.gene_symbol,
|
| 395 |
+
"C1_beta": float(rec.beta), "C1_q_global_BY": float(rec.q_global_BY),
|
| 396 |
+
"partition": partname, **dict(zip(("n00", "n01", "n10", "n11"), counts)),
|
| 397 |
+
"n_total_usable_genotypes_and_X": sum(counts),
|
| 398 |
+
"n_00_and_01_ge5": counts[0] >= MIN_PER_GROUP and counts[1] >= MIN_PER_GROUP,
|
| 399 |
+
"all_four_groups_ge5": raw_counts_good,
|
| 400 |
+
"strict_n_lineages_with_all_4_ge2": len(stratified),
|
| 401 |
+
**dict(zip(("strict_n00", "strict_n01", "strict_n10", "strict_n11"), restricted)),
|
| 402 |
+
"strict_n_models_after_lineage_filter": sum(restricted),
|
| 403 |
+
"strict_minimum_count_eligible_only": stringent_counts_good,
|
| 404 |
+
"count_audit_status": reason,
|
| 405 |
+
"note": "Count-only; no regression/rank/df/HC3/p-value/FDR performed"})
|
| 406 |
+
|
| 407 |
+
pair_df = pd.DataFrame(pair_rows).sort_values(["A", "B", "partition"])
|
| 408 |
+
assoc_df = pd.DataFrame(assoc_rows).sort_values(["C1_q_global_BY", "A", "B", "gene", "partition"])
|
| 409 |
+
pair_lineage = pd.DataFrame(pair_lineage_rows).sort_values(["A", "B", "partition", "Lineage"])
|
| 410 |
+
assoc_lineage = pd.DataFrame(assoc_lineage_rows).sort_values(["A", "B", "gene", "partition", "Lineage"])
|
| 411 |
+
if len(pair_df) != 126 or len(assoc_df) != 249:
|
| 412 |
+
raise RuntimeError("Unexpected pair/association audit record counts")
|
| 413 |
+
for part, table, expected in [("all", pair_df, 42), ("discovery", pair_df, 42),
|
| 414 |
+
("holdout", pair_df, 42), ("all", assoc_df, 83),
|
| 415 |
+
("discovery", assoc_df, 83), ("holdout", assoc_df, 83)]:
|
| 416 |
+
if table["partition"].eq(part).sum() != expected:
|
| 417 |
+
raise RuntimeError(f"Incomplete {part} records")
|
| 418 |
+
for table, keys in [(pair_df, ["A", "B"]), (assoc_df, ["A", "B", "gene"])]:
|
| 419 |
+
all_counts = table.loc[table.partition.eq("all")].set_index(keys)[["n00","n01","n10","n11"]]
|
| 420 |
+
disc_counts = table.loc[table.partition.eq("discovery")].set_index(keys)[["n00","n01","n10","n11"]]
|
| 421 |
+
hold_counts = table.loc[table.partition.eq("holdout")].set_index(keys)[["n00","n01","n10","n11"]]
|
| 422 |
+
if not all_counts.eq(disc_counts + hold_counts).all().all():
|
| 423 |
+
raise RuntimeError("All counts do not equal discovery + holdout counts")
|
| 424 |
+
# Raw paired genotype count may not equal gene X CRISPR observed count.
|
| 425 |
+
pair_df.to_csv(out / "01_42_UniquePair_GenotypeCounts.csv", index=False)
|
| 426 |
+
assoc_df.to_csv(out / "02_83_Association_TargetX_CRISPR_Counts.csv", index=False)
|
| 427 |
+
pair_lineage.to_csv(out / "03_42_Pair_ByLineage_GenotypeCounts.csv", index=False)
|
| 428 |
+
assoc_lineage.to_csv(out / "04_83_Association_TargetX_ByLineage_Counts.csv", index=False)
|
| 429 |
+
# A short discovery-only, one-row-per-association table convenient for review.
|
| 430 |
+
compact = assoc_df.loc[assoc_df.partition.eq("discovery")].copy()
|
| 431 |
+
compact.to_csv(out / "05_83_Association_Discovery_Count_Overview.csv", index=False)
|
| 432 |
+
|
| 433 |
+
disc = compact
|
| 434 |
+
sumstats = {
|
| 435 |
+
"study": "C1 BY<=0.05 83-association CRISPR four-group COUNT-ONLY feasibility",
|
| 436 |
+
"analysis_date_utc": now_utc(), "repo": REPO,
|
| 437 |
+
"source_depmap_release": f"DepMap Public 24Q4 v1 (Figshare {ARTICLE_ID} v{VERSION})",
|
| 438 |
+
"n_C1_associations": len(c1), "n_unique_ordered_mutation_pairs": c1[["A","B"]].drop_duplicates().shape[0],
|
| 439 |
+
"n_integrated_models": len(ids), "n_discovery_models": len(discovery), "n_holdout_models": len(holdout),
|
| 440 |
+
"n_associations_discovery_n00_ge5": int(disc.n00.ge(5).sum()),
|
| 441 |
+
"n_associations_discovery_n01_ge5": int(disc.n01.ge(5).sum()),
|
| 442 |
+
"n_associations_discovery_both_00_01_ge5": int(disc.n_00_and_01_ge5.sum()),
|
| 443 |
+
"n_associations_discovery_all_4_ge5_before_lineage_filter": int(disc.all_four_groups_ge5.sum()),
|
| 444 |
+
"n_associations_discovery_strict_lineage_count_eligible": int(disc.strict_minimum_count_eligible_only.sum()),
|
| 445 |
+
"discovery_not_count_eligible_reason_distribution": disc.count_audit_status.value_counts().to_dict(),
|
| 446 |
+
"n_pairs_discovery_n00_ge5": int(pair_df.loc[pair_df.partition.eq("discovery"), "n00"].ge(5).sum()),
|
| 447 |
+
"n_pairs_discovery_n01_ge5": int(pair_df.loc[pair_df.partition.eq("discovery"), "n01"].ge(5).sum()),
|
| 448 |
+
"n_pairs_discovery_both_00_01_ge5": int((pair_df.loc[pair_df.partition.eq("discovery"), "n00"].ge(5) &
|
| 449 |
+
pair_df.loc[pair_df.partition.eq("discovery"), "n01"].ge(5)).sum()),
|
| 450 |
+
"n_pairs_discovery_genotype_all4_ge5": int(pair_df.loc[pair_df.partition.eq("discovery"), "all_four_groups_ge5"].sum()),
|
| 451 |
+
"what_this_is_NOT": "Not an A*B interaction regression, not statistical power assurance, not significance or biological validation",
|
| 452 |
+
"strict_count_rule": "In discovery: retain lineages with >=2 X-measured models per each 00/01/10/11 arm; require >=5 per arm after pooling retained lineages. Still require full model estimability checks before statistical testing.",
|
| 453 |
+
"no_fdr_p_values_generated": True,
|
| 454 |
+
"no_main_result_files_changed": True,
|
| 455 |
+
}
|
| 456 |
+
save_json(out / "06_Feasibility_Summary.json", sumstats)
|
| 457 |
+
provenance = {"figshare_article_id": ARTICLE_ID, "version": VERSION,
|
| 458 |
+
"figshare_metadata_url": FIGSHARE_ENDPOINT, "article_doi": metadata.get("doi"),
|
| 459 |
+
"locked_release_doi": RELEASE_DOI, "c1_hugging_face_repo": REPO,
|
| 460 |
+
"C1_source_path": C1_SOURCE, "C1_source_sha256": c1_sha,
|
| 461 |
+
"C1_source_repo_commit_sha": info.sha,
|
| 462 |
+
"required_official_files": [{"role": k, "name": CSV_FILES[k], "figshare_file_id": LOCK[k][0],
|
| 463 |
+
"bytes": LOCK[k][1], "verified_md5": LOCK[k][2],
|
| 464 |
+
"url": f"https://ndownloader.figshare.com/files/{LOCK[k][0]}"}
|
| 465 |
+
for k in CSV_FILES],
|
| 466 |
+
"genotype_definition": "OR(damaging,hotspot)>0; zero only when both sources finite zero; otherwise missing; zeros are not guaranteed verified wild-type",
|
| 467 |
+
"crispr_target_definition": "Gene X finite CRISPRGeneEffect score, same ModelID as mutations",
|
| 468 |
+
"model_split_seed": SEED, "holdout_fraction": HOLDOUT_FRACTION,
|
| 469 |
+
"software": {"python": platform.python_version(), "numpy": np.__version__, "pandas": pd.__version__}}
|
| 470 |
+
save_json(out / "07_Source_And_Method_Provenance.json", provenance)
|
| 471 |
+
readme = f"""# Exact 83 C1-association four-group sample-count feasibility audit
|
| 472 |
+
|
| 473 |
+
- Authoritative C1 list: `{C1_SOURCE}` from `{REPO}`, SHA256 `{c1_sha}`.
|
| 474 |
+
- Independent fresh counts from **official Figshare DepMap Public 24Q4 v1** raw model, hotspot, damaging and CRISPR gene-effect CSVs.
|
| 475 |
+
- Discovery split: original seed {SEED}; original 938/240 partition reproduced.
|
| 476 |
+
- 83 association rows but 42 distinct ordered A/B mutation pairs.
|
| 477 |
+
- Four groups: 00 neither qualifying mutation reported; 01 B-only; 10 A-only; 11 A+B.
|
| 478 |
+
- Zero requires both mutation matrices to have an observed zero; missing is not assumed wild-type.
|
| 479 |
+
- `01_42_...` counts genotype-observed models for each pair (not target-specific).
|
| 480 |
+
- `02_83_...` counts only models with observed genotype A/B **and** finite CRISPR gene-effect score for the *same* target gene X.
|
| 481 |
+
- `03_...` and `04_...` detail lineage counts; `05_...` contains the concise 83-row discovery-only overview.
|
| 482 |
+
- Sample threshold: >=5 per group in pooled four-group records; strict pan-cancer additionally requires >=2 per group within each retained lineage and >=5 per group across those retained lineages.
|
| 483 |
+
- These are **count-only necessary conditions**. No interaction model, design rank, residual df, HC3, p-value or adjusted q-value is calculated. Count eligibility is not statistical significance.
|
| 484 |
+
- `06_Feasibility_Summary.json` and `07_Source_And_Method_Provenance.json` provide evidence and audit metadata.
|
| 485 |
+
- This folder is a separate experimental audit. Existing final_comutation results remain untouched.
|
| 486 |
+
"""
|
| 487 |
+
(out / "08_Methods_And_Interpretation.md").write_text(readme, encoding="utf-8")
|
| 488 |
+
# Prefer exactly executing/re-uploading this source code, to preserve run provenance.
|
| 489 |
+
try:
|
| 490 |
+
source_file = Path(__file__).resolve()
|
| 491 |
+
if source_file.exists():
|
| 492 |
+
shutil.copyfile(source_file, out / "audit_source.py")
|
| 493 |
+
except NameError:
|
| 494 |
+
# Code executed in notebook cell rather than imported file; still preserve original as code string if possible.
|
| 495 |
+
pass
|
| 496 |
+
manifest = {p.name: {"sha256": sha256(p), "bytes": p.stat().st_size}
|
| 497 |
+
for p in sorted(out.iterdir()) if p.is_file()}
|
| 498 |
+
save_json(out / "09_File_Manifest.json", {"files": manifest, "generated_utc": now_utc()})
|
| 499 |
+
|
| 500 |
+
# Atomic commit to a new experimental run folder; never overwrite main results.
|
| 501 |
+
run_prefix = f"experimental_runs/C1_83_FourGroup_Count_Feasibility/{runid}"
|
| 502 |
+
remote_files = api.list_repo_files(repo_id=REPO, repo_type=REPO_TYPE, token=token)
|
| 503 |
+
if any(z.startswith(run_prefix + "/") for z in remote_files):
|
| 504 |
+
raise RuntimeError("Refusing to overwrite an existing experimental run folder")
|
| 505 |
+
operations = [CommitOperationAdd(path_in_repo=f"{run_prefix}/{p.name}", path_or_fileobj=str(p))
|
| 506 |
+
for p in sorted(out.iterdir()) if p.is_file()]
|
| 507 |
+
print("\nCOUNT-ONLY AUDIT COMPLETE. SUMMARY:")
|
| 508 |
+
print(json.dumps(sumstats, indent=2))
|
| 509 |
+
print("Publishing separate experimental folder; existing paper results unchanged.", flush=True)
|
| 510 |
+
commit = api.create_commit(repo_id=REPO, repo_type=REPO_TYPE, operations=operations,
|
| 511 |
+
parent_commit=info.sha, token=token,
|
| 512 |
+
commit_message=f"C1 83 BY associations four-genotype CRISPR count-only feasibility {runid}")
|
| 513 |
+
listed = set(api.list_repo_files(repo_id=REPO, repo_type=REPO_TYPE, token=token, revision=commit.oid))
|
| 514 |
+
expected = {op.path_in_repo for op in operations}
|
| 515 |
+
if not expected.issubset(listed):
|
| 516 |
+
raise RuntimeError("Commit returned, but some new audit files were not found on Hugging Face")
|
| 517 |
+
confirm = hf_hub_download(repo_id=REPO, repo_type=REPO_TYPE,
|
| 518 |
+
filename=f"{run_prefix}/06_Feasibility_Summary.json",
|
| 519 |
+
revision=commit.oid, token=False, local_dir=str(root / "hf_verified"))
|
| 520 |
+
if sha256(Path(confirm)) != sha256(out / "06_Feasibility_Summary.json"):
|
| 521 |
+
raise RuntimeError("Public summary checksum verification failed after upload")
|
| 522 |
+
url = f"https://huggingface.co/datasets/{REPO}/tree/main/{run_prefix}"
|
| 523 |
+
print("\nSUCCESS — Experimental run uploaded and public summary checksum verified")
|
| 524 |
+
print("HUGGING_FACE:", url)
|
| 525 |
+
print("LOCAL_AUDIT:", out)
|
| 526 |
+
print(f"Elapsed seconds: {time.monotonic()-started:.1f}")
|
| 527 |
+
return sumstats
|
| 528 |
+
|
| 529 |
+
|
| 530 |
+
if __name__ == "__main__":
|
| 531 |
+
run_audit()
|