junidude14 commited on
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Archive 4 checkpoints (1-4)

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paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/cx_fractions_ye2026_sepsis_fewshot2.log ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ >Running CIBERSORTxFractions...
2
+ >[Options] username: [REDACTED]
3
+ >[Options] token: [REDACTED]
4
+ >[Options] single_cell: TRUE
5
+ >[Options] refsample: refsample.txt
6
+ >[Options] mixture: mixture.txt
7
+ >[Options] rmbatchSmode: TRUE
8
+ >[Options] fraction: 0
9
+ >[Options] replicates: 5
10
+ >[Options] sampling: 0.5
11
+ >[Options] G.min: 300
12
+ >[Options] G.max: 500
13
+ >[Options] q.value: 0.01
14
+ >[Options] perm: 0
15
+ >[Options] QN: FALSE
16
+ >[Options] verbose: TRUE
17
+ >Making reference sample file.
18
+ >Making phenotype class file.
19
+ >==========Signature Matrix Settings============
20
+ >Pure samples file: /src/outdir//CIBERSORTx_refsample_inferred_refsample.txt
21
+ >Phenotype classes file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.txt
22
+ >Minimum number of DEGs to consider from each phenotype for signature matrix set to: 300
23
+ >Maximum number of DEGs to consider from each phenotype for signature matrix set to: 500
24
+ >Q-value for signature matrix construction set to: 0.01
25
+ >Quantile normalization of input samples is disabled
26
+ >===============================================
27
+ >C++14
28
+ >Loaded 30 columns and 19864 rows
29
+ >=============Make Signature Matrix=============
30
+ >Maximum condition number (kappa):999
31
+ >53923 DEG expressed across 6 samples were identified
32
+ >Group size: 500, Kappa: 11.844165798807
33
+ >Best kappa: 11.844165798807
34
+ >SVD UpperRightDiag: 53643.2
35
+ >SVD LowerRightDiag: 4529.08
36
+ >=============CIBERSORTx Settings===============
37
+ >Mixture file: /src/data/mixture.txt
38
+ >Signature matrix file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.CIBERSORTx_refsample_inferred_refsample.bm.K999.txt
39
+ >Enable verbose output
40
+ >Do S-mode batch correction
41
+ >==================CIBERSORTx===================
42
+ >Adjusting mixtures with S-mode batch correction.
43
+ >Running CIBERSORTx on unadjusted mixtures with S-mode adjusted signature matrix.
44
+ >=============CIBERSORTx Settings===============
45
+ >Mixture file: /src/data/mixture.txt
46
+ >Signature matrix file: /src/outdir//CIBERSORTx_sigmatrix_Adjusted.txt
47
+ >Enable verbose output
48
+ >==================CIBERSORTx===================
49
+ column B cell DC Monocyte NK cell Other T cell P-value Correlation RMSE %Completed
50
+ 1 0.0505484 0.139776 0.675146 0.0438243 0.0544997 0.0362055 9999 1.2987
51
+ 2 0.294341 0 0.236895 0.0921395 0.187621 0.189003 9999 2.5974
52
+ 3 0.00951439 0.0730371 0.0156729 0.439701 0.00526814 0.456807 9999 3.8961
53
+ 4 0.0964799 0.154122 0.223073 0.127924 0.0492713 0.34913 9999 5.19481
54
+ 5 0.597234 0 0 0 0 0.402766 9999 6.49351
55
+ 6 0.243998 0 0.175646 0.000816 0.263361 0.316179 9999 7.79221
56
+ 7 0 0.0805716 0.0751382 0 0.0287837 0.815506 9999 9.09091
57
+ 8 0.0997302 0 0.511189 0.0462623 0.202913 0.139906 9999 10.3896
58
+ 9 0 0.0600501 0.167377 0.045546 0.299283 0.427743 9999 11.6883
59
+ 10 0.0827205 0 0.518646 0.154841 0.0274696 0.216324 9999 12.987
60
+ 11 0.0733926 0.0333938 0.537658 0.182156 0.078559 0.0948404 9999 14.2857
61
+ 12 0.0275234 0.0477775 0.561338 0.0961943 0.0765829 0.190584 9999 15.5844
62
+ 13 0.0385449 0 0.616681 0.0936274 0.0899732 0.161173 9999 16.8831
63
+ 14 0.0317308 0.0738412 0.302927 0.23779 0.03874 0.314971 9999 18.1818
64
+ 15 0.199051 0.0167695 0.0206752 0.00853269 0.00113003 0.753841 9999 19.4805
65
+ 16 0.241334 0.190864 0.276551 0.0802855 0.0748067 0.136158 9999 20.7792
66
+ 17 0.135003 0.0766263 0.216512 0.381958 0.0418339 0.148067 9999 22.0779
67
+ 18 0 0.148232 0.340969 0.136456 0.0760368 0.298306 9999 23.3766
68
+ 19 0.0993658 0 0.562038 0.214823 0.0291577 0.094615 9999 24.6753
69
+ 20 0.113903 0.0526999 0.456883 0.0626528 0.0259828 0.287879 9999 25.974
70
+ 21 0 0.108426 0.624396 0.0417323 0.19531 0.0301355 9999 27.2727
71
+ 22 0.00267816 0.00324082 0.660842 0.159138 0.0645066 0.109595 9999 28.5714
72
+ 23 0.0964797 0.284685 0.0655468 0.143039 0.00966808 0.400581 9999 29.8701
73
+ 24 0.101499 0.0996736 0.0256091 0.349102 0 0.424117 9999 31.1688
74
+ 25 0.0480127 0.237095 0.16556 0.399515 0.00224312 0.147575 9999 32.4675
75
+ 26 0.0150163 0.19348 0.0496873 0.306083 0 0.435734 9999 33.7662
76
+ 27 0.0505611 0.173092 0.0639603 0.34404 0.011242 0.357104 9999 35.0649
77
+ 28 0.0976079 0.0946115 0.065666 0.355256 0.00881188 0.378047 9999 36.3636
78
+ 29 0.0358899 0.128898 0.00325549 0.581776 0.00241742 0.247764 9999 37.6623
79
+ 30 0.0971051 0.0248864 0.150415 0.179771 0.0734095 0.474413 9999 38.961
80
+ 31 0.041325 0.215515 0.13847 0.2263 0.00151977 0.376871 9999 40.2597
81
+ 32 0.131631 0 0.550414 0.140781 0.0342581 0.142915 9999 41.5584
82
+ 33 0.0559195 0.195596 0.366784 0.0382444 0.0800256 0.263431 9999 42.8571
83
+ 34 0 0.157618 0.509994 0.10413 0.0495982 0.178659 9999 44.1558
84
+ 35 0.105879 0.127286 0.278764 0 0.0715569 0.416514 9999 45.4545
85
+ 36 0.1685 0.133359 0.0102063 0.193001 0.0077481 0.487186 9999 46.7532
86
+ 37 0.256587 0.0588978 0.0864022 0.0755663 0.00153108 0.521016 9999 48.0519
87
+ 38 0.209136 0.0758254 0 0.0795515 0 0.635487 9999 49.3506
88
+ 39 0.0815794 0.185924 0.0735339 0.123903 0.0106807 0.524379 9999 50.6494
89
+ 40 0.40454 0.0849866 0.0227087 0.0610262 0.00358686 0.423152 9999 51.9481
90
+ 41 0.111379 0.037004 0.480138 0.0413812 0.0133183 0.316779 9999 53.2468
91
+ 42 0.20479 0.130937 0.163133 0 0.00215229 0.498987 9999 54.5455
92
+ 43 0.156354 0 0.188006 0.0517183 0.0155173 0.588404 9999 55.8442
93
+ 44 0.346086 0.0305674 0.388518 0 0.0158075 0.21902 9999 57.1429
94
+ 45 0.285084 0 0.311192 0 0.00502283 0.398702 9999 58.4416
95
+ 46 0.222343 0.0050707 0 0 0 0.772586 9999 59.7403
96
+ 47 0.0898013 0.0721609 0.292214 0.192233 0.102126 0.251465 9999 61.039
97
+ 48 0.0276762 0.184599 0.310434 0.102685 0 0.374606 9999 62.3377
98
+ 49 0.388758 0.0261971 0.0746656 0 0 0.51038 9999 63.6364
99
+ 50 0.183372 0 0.0973772 0 0 0.71925 9999 64.9351
100
+ 51 0.00905965 0.0192364 0.0747446 0.0189198 0.17345 0.704589 9999 66.2338
101
+ 52 0.155551 0 0.249872 0.226954 0 0.367622 9999 67.5325
102
+ 53 0.0116157 0.16637 0.498032 0.0734579 0.0364955 0.214029 9999 68.8312
103
+ 54 0 0.0824646 0.413097 0.391188 0 0.11325 9999 70.1299
104
+ 55 0.0751274 0.0800749 0.373648 0.054174 0.0216985 0.395278 9999 71.4286
105
+ 56 0.0503289 0.0899242 0.519534 0.118461 0.0159502 0.205802 9999 72.7273
106
+ 57 0.116156 0.141809 0.420009 0.133926 0.145486 0.0426142 9999 74.026
107
+ 58 0.11278 0.166326 0.0139207 0.170235 0.0115231 0.525216 9999 75.3247
108
+ 59 0.193711 0 0.427472 0.0825145 0.00871097 0.287591 9999 76.6234
109
+ 60 0.0625002 0.112937 0.122993 0.0926252 0.0764652 0.532479 9999 77.9221
110
+ 61 0.0999929 0 0.377722 0.256499 0.0283055 0.237481 9999 79.2208
111
+ 62 0 0.052052 0.231098 0.228059 0.155199 0.333591 9999 80.5195
112
+ 63 0.0941159 0 0.316861 0.16579 0.072507 0.350727 9999 81.8182
113
+ 64 0.0679843 0.119838 0.246579 0.115709 0.0470174 0.402873 9999 83.1169
114
+ 65 0 0.234738 0.310185 0.194568 0.10519 0.155319 9999 84.4156
115
+ 66 0.164856 0 0.478354 0.0706489 0.0783411 0.207801 9999 85.7143
116
+ 67 0.0296771 0.147138 0.590738 0.0700124 0.00996005 0.152474 9999 87.013
117
+ 68 0.0151568 0.22638 0.292791 0.148591 0 0.317082 9999 88.3117
118
+ 69 0.0947341 0 0.134619 0.103248 0.00816069 0.659239 9999 89.6104
119
+ 70 0 0.0767485 0.182445 0.0683586 0.125139 0.547308 9999 90.9091
120
+ 71 0 0.0387716 0.410116 0.13152 0.188339 0.231253 9999 92.2078
121
+ 72 0.111132 0.00447745 0.0816682 0 0.246022 0.5567 9999 93.5065
122
+ 73 0.0347788 0.18533 0.378896 0.101883 0.057518 0.241594 9999 94.8052
123
+ 74 0.177612 0.0532406 0.147104 0.0690292 0.0111708 0.541844 9999 96.1039
124
+ 75 0.22556 0.103433 0.282239 0.103415 0.00967482 0.275677 9999 97.4026
125
+ 76 0.0238069 0.0387648 0.362994 0.0616973 0.0996089 0.413128 9999 98.7013
126
+ 77 0.123799 0.0940741 0.258885 0.0288173 0.270795 0.223629 9999 100
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/cx_fractions_ye2026_sepsis_fewshot3.log ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ >Running CIBERSORTxFractions...
2
+ >[Options] username: [REDACTED]
3
+ >[Options] token: [REDACTED]
4
+ >[Options] single_cell: TRUE
5
+ >[Options] refsample: refsample.txt
6
+ >[Options] mixture: mixture.txt
7
+ >[Options] rmbatchSmode: TRUE
8
+ >[Options] fraction: 0
9
+ >[Options] replicates: 5
10
+ >[Options] sampling: 0.5
11
+ >[Options] G.min: 300
12
+ >[Options] G.max: 500
13
+ >[Options] q.value: 0.01
14
+ >[Options] perm: 0
15
+ >[Options] QN: FALSE
16
+ >[Options] verbose: TRUE
17
+ >Making reference sample file.
18
+ >Making phenotype class file.
19
+ >==========Signature Matrix Settings============
20
+ >Pure samples file: /src/outdir//CIBERSORTx_refsample_inferred_refsample.txt
21
+ >Phenotype classes file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.txt
22
+ >Minimum number of DEGs to consider from each phenotype for signature matrix set to: 300
23
+ >Maximum number of DEGs to consider from each phenotype for signature matrix set to: 500
24
+ >Q-value for signature matrix construction set to: 0.01
25
+ >Quantile normalization of input samples is disabled
26
+ >===============================================
27
+ >C++14
28
+ >Loaded 30 columns and 19864 rows
29
+ >=============Make Signature Matrix=============
30
+ >Maximum condition number (kappa):999
31
+ >51845 DEG expressed across 6 samples were identified
32
+ >Group size: 500, Kappa: 31.350059311153
33
+ >Best kappa: 31.350059311153
34
+ >SVD UpperRightDiag: 122213
35
+ >SVD LowerRightDiag: 3898.32
36
+ >=============CIBERSORTx Settings===============
37
+ >Mixture file: /src/data/mixture.txt
38
+ >Signature matrix file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.CIBERSORTx_refsample_inferred_refsample.bm.K999.txt
39
+ >Enable verbose output
40
+ >Do S-mode batch correction
41
+ >==================CIBERSORTx===================
42
+ >Adjusting mixtures with S-mode batch correction.
43
+ >Running CIBERSORTx on unadjusted mixtures with S-mode adjusted signature matrix.
44
+ >=============CIBERSORTx Settings===============
45
+ >Mixture file: /src/data/mixture.txt
46
+ >Signature matrix file: /src/outdir//CIBERSORTx_sigmatrix_Adjusted.txt
47
+ >Enable verbose output
48
+ >==================CIBERSORTx===================
49
+ column B cell DC Monocyte NK cell Other T cell P-value Correlation RMSE %Completed
50
+ 1 0.0771013 0.150356 0.6249 0.0472548 0.0604626 0.0399248 9999 1.2987
51
+ 2 0.404686 0.0118999 0.1732 0.0960374 0.19573 0.118446 9999 2.5974
52
+ 3 0.0123272 0.0753995 0.0304863 0.398649 0.00509537 0.478042 9999 3.8961
53
+ 4 0.114453 0.16124 0.176621 0.125863 0.054779 0.367044 9999 5.19481
54
+ 5 0.593375 0 0 0 0 0.406625 9999 6.49351
55
+ 6 0.347678 0 0.13114 0.0102637 0.239403 0.271515 9999 7.79221
56
+ 7 0.0180789 0.0235159 0.0805887 0 0.0970939 0.780723 9999 9.09091
57
+ 8 0.142158 0.108073 0.373452 0.0470327 0.197029 0.132255 9999 10.3896
58
+ 9 0.0820638 0 0.152256 0.0459038 0.456941 0.262836 9999 11.6883
59
+ 10 0.0814997 0.123908 0.380086 0.15016 0.0269387 0.237408 9999 12.987
60
+ 11 0.0795608 0.0984607 0.413044 0.188021 0.154698 0.0662152 9999 14.2857
61
+ 12 0.0102912 0.16332 0.437 0.0904302 0.149314 0.149645 9999 15.5844
62
+ 13 0.0588152 0.00095797 0.485981 0.126756 0.221648 0.105843 9999 16.8831
63
+ 14 0 0.131142 0.178442 0.282412 0.0313268 0.376677 9999 18.1818
64
+ 15 0.165157 0.0191662 0.0249224 0 0.00137086 0.789384 9999 19.4805
65
+ 16 0.189336 0.193544 0.271042 0.0900067 0.0478009 0.208271 9999 20.7792
66
+ 17 0.084277 0.143078 0.157858 0.404472 0.0391313 0.171184 9999 22.0779
67
+ 18 0.108927 0.032058 0.427707 0.265033 0.0283418 0.137933 9999 23.3766
68
+ 19 0.10162 0.0708579 0.407813 0.0662595 0.00899628 0.344453 9999 24.6753
69
+ 20 0.0123592 0.162174 0.399995 0.0991226 0.326349 0 9999 25.974
70
+ 21 0.0059483 0.169213 0.428392 0.199376 0.0734874 0.123584 9999 27.2727
71
+ 22 0.0427796 0.354275 0.0156185 0.136878 0.000275362 0.450174 9999 28.5714
72
+ 23 0.0777141 0.130944 0 0.330769 0 0.460573 9999 29.8701
73
+ 24 0.000185733 0.321931 0.0531197 0.430579 0.000178605 0.194006 9999 31.1688
74
+ 25 0.0278641 0.202189 0.0262778 0.271507 0 0.472162 9999 32.4675
75
+ 26 0.012321 0.220998 0.00943719 0.337818 0.000165056 0.419261 9999 33.7662
76
+ 27 0.0697432 0.157799 0.00719268 0.324781 0.00015535 0.440329 9999 35.0649
77
+ 28 0.00283812 0.155119 0 0.579458 0.000300839 0.262284 9999 36.3636
78
+ 29 0.092465 0.0870889 0.0471963 0.187074 0.0865295 0.499647 9999 37.6623
79
+ 30 0 0.24891 0.0723301 0.24295 0.000596043 0.435214 9999 38.961
80
+ 31 0.127847 0.0364763 0.437315 0.189153 0.037755 0.171453 9999 40.2597
81
+ 32 0.0429669 0.279587 0.285785 0.0410044 0.0765554 0.274102 9999 41.5584
82
+ 33 0.00555556 0.274593 0.354684 0.13608 0.0465487 0.18254 9999 42.8571
83
+ 34 0.100708 0.193747 0.180174 0 0.0620068 0.463365 9999 44.1558
84
+ 35 0.200157 0.123354 0.0109376 0.171632 0.000663296 0.493256 9999 45.4545
85
+ 36 0.283385 0.107516 0.0328325 0.0516908 1.98911e-05 0.524556 9999 46.7532
86
+ 37 0.217171 0.0895035 0 0.0630614 0 0.630264 9999 48.0519
87
+ 38 0.0458516 0.0792519 0.0260051 0.0779563 0.021934 0.749001 9999 49.3506
88
+ 39 0.481463 0.0631519 0.0139581 0.0567185 0.000772101 0.383936 9999 50.6494
89
+ 40 0.0756641 0.088992 0.438354 0.0084754 0.00876686 0.379748 9999 51.9481
90
+ 41 0.220421 0.148947 0.123902 0 0.00410498 0.502625 9999 53.2468
91
+ 42 0.199391 0 0.115622 0.0419804 0.0671509 0.575856 9999 54.5455
92
+ 43 0.389928 0.171706 0.24627 0.00553533 0.0170624 0.169498 9999 55.8442
93
+ 44 0.376558 0 0.246932 0 0.0496969 0.326813 9999 57.1429
94
+ 45 0.267482 0 0.00210572 0 0.032642 0.69777 9999 58.4416
95
+ 46 0.127743 0.0383791 0.289203 0.204541 0.1001 0.240034 9999 59.7403
96
+ 47 0.0165695 0.197278 0.286856 0.0918321 0 0.407464 9999 61.039
97
+ 48 0.376094 0.035162 0.0531746 0 0.00275708 0.532812 9999 62.3377
98
+ 49 0.205471 0 0.0924906 0 0 0.702039 9999 63.6364
99
+ 50 0.0267435 0 0.0841789 0 0.195993 0.693085 9999 64.9351
100
+ 51 0.170409 0 0.227416 0.208909 0.0197098 0.373557 9999 66.2338
101
+ 52 0 0.312607 0.323315 0.0695301 0.0239158 0.270632 9999 67.5325
102
+ 53 0 0.310694 0.325415 0.00905525 0.00122042 0.353615 9999 68.8312
103
+ 54 0.0559916 0.0960511 0.333914 0.0380301 0.012154 0.463859 9999 70.1299
104
+ 55 0.0271532 0.18278 0.340723 0.148045 0.0143069 0.286992 9999 71.4286
105
+ 56 0.103208 0.138509 0.466824 0.136747 0.142262 0.0124494 9999 72.7273
106
+ 57 0.112855 0.155163 0.0474411 0.149856 0.00464208 0.530043 9999 74.026
107
+ 58 0.131448 0.00765527 0.435933 0.0656731 0.000340808 0.35895 9999 75.3247
108
+ 59 0.242022 0.0407884 0.0605136 0.143979 7.61301e-05 0.512621 9999 76.6234
109
+ 60 0.086186 0 0.356316 0.302838 0.0269834 0.227676 9999 77.9221
110
+ 61 0.0282363 0.0791456 0.14235 0.264361 0.174603 0.311304 9999 79.2208
111
+ 62 0.110859 0 0.290445 0.170182 0.0762834 0.35223 9999 80.5195
112
+ 63 0.121074 0.150152 0.150458 0.124541 0.0464646 0.407311 9999 81.8182
113
+ 64 0.0745415 0.0147251 0.456983 0 0.11818 0.33557 9999 83.1169
114
+ 65 0 0.263305 0.247039 0.213922 0.112814 0.16292 9999 84.4156
115
+ 66 0.198447 0 0.382531 0.0781735 0.177754 0.163094 9999 85.7143
116
+ 67 0.0304581 0.263567 0.222394 0.155692 0.000335573 0.327553 9999 87.013
117
+ 68 0.0915328 0.0142415 0.127655 0.071386 0.00905196 0.686133 9999 88.3117
118
+ 69 0.0102124 0.0665446 0.10416 0.0430258 0.261052 0.515006 9999 89.6104
119
+ 70 0.0430018 0.112558 0.253899 0.201495 0.217836 0.17121 9999 90.9091
120
+ 71 0.206577 0 0.0839693 0 0.233363 0.476091 9999 92.2078
121
+ 72 0.0238915 0.0107257 0.0088077 0.338016 0.000329837 0.618229 9999 93.5065
122
+ 73 0.0283796 0.152272 0.322338 0.12876 0.0560507 0.3122 9999 94.8052
123
+ 74 0.12596 0.129271 0.0827587 0.0345197 0.0182639 0.609227 9999 96.1039
124
+ 75 0.205652 0.18755 0.180556 0.112253 0.00881771 0.305171 9999 97.4026
125
+ 76 0.0438634 0.0814319 0.273061 0.0494294 0.187554 0.364661 9999 98.7013
126
+ 77 0.193717 0.104744 0.194344 0.0308311 0.312452 0.163911 9999 100
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/cx_fractions_ye2026_sepsis_fewshot4.log ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ >Running CIBERSORTxFractions...
2
+ >[Options] username: [REDACTED]
3
+ >[Options] token: [REDACTED]
4
+ >[Options] single_cell: TRUE
5
+ >[Options] refsample: refsample.txt
6
+ >[Options] mixture: mixture.txt
7
+ >[Options] rmbatchSmode: TRUE
8
+ >[Options] fraction: 0
9
+ >[Options] replicates: 5
10
+ >[Options] sampling: 0.5
11
+ >[Options] G.min: 300
12
+ >[Options] G.max: 500
13
+ >[Options] q.value: 0.01
14
+ >[Options] perm: 0
15
+ >[Options] QN: FALSE
16
+ >[Options] verbose: TRUE
17
+ >Making reference sample file.
18
+ >Making phenotype class file.
19
+ >==========Signature Matrix Settings============
20
+ >Pure samples file: /src/outdir//CIBERSORTx_refsample_inferred_refsample.txt
21
+ >Phenotype classes file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.txt
22
+ >Minimum number of DEGs to consider from each phenotype for signature matrix set to: 300
23
+ >Maximum number of DEGs to consider from each phenotype for signature matrix set to: 500
24
+ >Q-value for signature matrix construction set to: 0.01
25
+ >Quantile normalization of input samples is disabled
26
+ >===============================================
27
+ >C++14
28
+ >Loaded 30 columns and 19864 rows
29
+ >=============Make Signature Matrix=============
30
+ >Maximum condition number (kappa):999
31
+ >50778 DEG expressed across 6 samples were identified
32
+ >Group size: 500, Kappa: 15.5855068095546
33
+ >Best kappa: 15.5855068095546
34
+ >SVD UpperRightDiag: 65780.3
35
+ >SVD LowerRightDiag: 4220.6
36
+ >=============CIBERSORTx Settings===============
37
+ >Mixture file: /src/data/mixture.txt
38
+ >Signature matrix file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.CIBERSORTx_refsample_inferred_refsample.bm.K999.txt
39
+ >Enable verbose output
40
+ >Do S-mode batch correction
41
+ >==================CIBERSORTx===================
42
+ >Adjusting mixtures with S-mode batch correction.
43
+ >Running CIBERSORTx on unadjusted mixtures with S-mode adjusted signature matrix.
44
+ >=============CIBERSORTx Settings===============
45
+ >Mixture file: /src/data/mixture.txt
46
+ >Signature matrix file: /src/outdir//CIBERSORTx_sigmatrix_Adjusted.txt
47
+ >Enable verbose output
48
+ >==================CIBERSORTx===================
49
+ column B cell DC Monocyte NK cell Other T cell P-value Correlation RMSE %Completed
50
+ 1 0.0582662 0.166702 0.642664 0.00661117 0.0823318 0.0434248 9999 1.2987
51
+ 2 0.302508 0.0733307 0.1654 0.0294465 0.278064 0.151252 9999 2.5974
52
+ 3 0 0.124268 0.0132825 0.342868 0.0191645 0.500416 9999 3.8961
53
+ 4 0.0496025 0.24656 0.171967 0.0483529 0.0913121 0.392205 9999 5.19481
54
+ 5 0.599231 0 0 0 0 0.400769 9999 6.49351
55
+ 6 0.244084 0 0.129801 0 0.366744 0.25937 9999 7.79221
56
+ 7 0.00159031 0.0964812 0.0538411 0 0.0578444 0.790243 9999 9.09091
57
+ 8 0.0503381 0.0932943 0.0977678 0 0.376403 0.382197 9999 10.3896
58
+ 9 0.0598338 0.125579 0.38705 0.0996633 0.0645161 0.263357 9999 11.6883
59
+ 10 0.0649834 0.137704 0.413046 0.134956 0.12893 0.12038 9999 12.987
60
+ 11 0.0158628 0.142689 0.486219 0.0709509 0.10765 0.176628 9999 14.2857
61
+ 12 0.0574784 0.0678412 0.485018 0.0854547 0.147169 0.157039 9999 15.5844
62
+ 13 0.0220006 0.121441 0.184326 0.258849 0.0774895 0.335895 9999 16.8831
63
+ 14 0.231041 0 0.0252108 0 0.0141318 0.729616 9999 18.1818
64
+ 15 0.238911 0.164838 0.280968 0.11193 0.0848634 0.11849 9999 19.4805
65
+ 16 0.100405 0.166632 0.149603 0.345461 0.0673462 0.170552 9999 20.7792
66
+ 17 0 0.153616 0.252146 0.0886655 0.131723 0.373849 9999 22.0779
67
+ 18 0.126256 0.119006 0.360909 0.211521 0.0794065 0.102901 9999 23.3766
68
+ 19 0.152949 0.060468 0.42281 0.0520989 0.0476423 0.264031 9999 24.6753
69
+ 20 0 0.133591 0.525052 0.0299526 0.311404 0 9999 25.974
70
+ 21 0 0.130247 0.464484 0.139308 0.134754 0.131207 9999 27.2727
71
+ 22 0.0621891 0.329744 0.063453 0.110621 0.0161493 0.417843 9999 28.5714
72
+ 23 0.0921302 0.138436 0.0213269 0.261884 0.00446007 0.481763 9999 29.8701
73
+ 24 0 0.335676 0.0610145 0.366257 0.010068 0.226985 9999 31.1688
74
+ 25 0.028714 0.221914 0.0609431 0.23808 0 0.450349 9999 32.4675
75
+ 26 0.0192485 0.18913 0.0630379 0.287831 0.0305106 0.410242 9999 33.7662
76
+ 27 0.0530537 0.174542 0.0258502 0.278067 0.0239746 0.444512 9999 35.0649
77
+ 28 0 0.178929 0 0.532519 0.00886414 0.279688 9999 36.3636
78
+ 29 0.077115 0.105294 0.0602585 0.147947 0.117496 0.491888 9999 37.6623
79
+ 30 0.0316092 0.265364 0.0782195 0.2033 0.011163 0.410344 9999 38.961
80
+ 31 0.145287 0.0526288 0.434404 0.141461 0.0735101 0.152709 9999 40.2597
81
+ 32 0.0313192 0.293734 0.280135 0.0085009 0.124891 0.26142 9999 41.5584
82
+ 33 0 0.283959 0.358868 0.0641568 0.0790432 0.213973 9999 42.8571
83
+ 34 0.10996 0.214241 0 0.104519 0.0214815 0.549798 9999 44.1558
84
+ 35 0.21016 0.200221 0.0219016 0.0188525 0.0159517 0.532913 9999 45.4545
85
+ 36 0.181123 0.132867 0 0.0257733 0 0.660236 9999 46.7532
86
+ 37 0.0863218 0.215894 0.0545178 0.0664293 0.0283904 0.548446 9999 48.0519
87
+ 38 0.0570863 0.0875069 0.0335836 0.022602 0.0446135 0.754608 9999 49.3506
88
+ 39 0.382156 0.147337 0.00995575 0.0203175 0.0280702 0.412163 9999 50.6494
89
+ 40 0.0949604 0.118328 0.381268 0 0.0348814 0.370562 9999 51.9481
90
+ 41 0.179387 0.172518 0.130903 0 0.0124657 0.504726 9999 53.2468
91
+ 42 0.165647 0.0128334 0.134909 0 0.0395115 0.6471 9999 54.5455
92
+ 43 0.243591 0.247567 0.222384 0 0.0487347 0.237723 9999 55.8442
93
+ 44 0.286497 0 0.277321 0 0.0197982 0.416384 9999 57.1429
94
+ 45 0.206651 0.0342885 0 0 0.00764597 0.751415 9999 58.4416
95
+ 46 0.0891273 0.0718037 0.297864 0.120319 0.155533 0.265353 9999 59.7403
96
+ 47 0.443969 0.020882 0.0672486 0 0.000160816 0.46774 9999 61.039
97
+ 48 0.179554 0 0.0873814 0 0 0.733064 9999 62.3377
98
+ 49 0 0.000191785 0.0666248 0 0.24167 0.691513 9999 63.6364
99
+ 50 0.171748 0 0.223549 0.169438 0.00550055 0.429765 9999 64.9351
100
+ 51 0 0.283412 0.338987 0.0515946 0.0700183 0.255987 9999 66.2338
101
+ 52 0 0.248494 0.436406 0 0.0166842 0.298415 9999 67.5325
102
+ 53 0 0.141495 0.371222 0.3202 0 0.167083 9999 68.8312
103
+ 54 0.0843562 0.106667 0.332977 0.00611685 0.0226302 0.447253 9999 70.1299
104
+ 55 0.0571767 0.204798 0.320262 0.145171 0.0299208 0.242672 9999 71.4286
105
+ 56 0.0941968 0.229276 0.35514 0.109025 0.19414 0.0182225 9999 72.7273
106
+ 57 0.0850422 0.188801 0.0551375 0.105706 0.0235864 0.541727 9999 74.026
107
+ 58 0.220523 0.0471077 0.357934 0.0659356 0.0202085 0.288291 9999 75.3247
108
+ 59 0.0515481 0.17063 0.0607913 0.0485625 0.114808 0.55366 9999 76.6234
109
+ 60 0.22575 0.066886 0.0621272 0.106213 0 0.539024 9999 77.9221
110
+ 61 0.0187079 0.0399523 0.343442 0.177721 0.0594998 0.360677 9999 79.2208
111
+ 62 0.0116106 0.0784218 0.14212 0.171907 0.241029 0.354912 9999 80.5195
112
+ 63 0.0763532 0.0185243 0.277712 0.12725 0.11962 0.38054 9999 81.8182
113
+ 64 0.0609356 0.184225 0.15973 0.0444274 0.0817144 0.468968 9999 83.1169
114
+ 65 0.102388 0.075768 0.35118 0 0.149111 0.321554 9999 84.4156
115
+ 66 0 0.30166 0.233574 0.134292 0.156639 0.173836 9999 85.7143
116
+ 67 0.194809 0.0070307 0.395823 0.0331227 0.13284 0.236374 9999 87.013
117
+ 68 0 0.301494 0.211226 0.0866825 0.00333344 0.397264 9999 88.3117
118
+ 69 0.070911 0.0466859 0.116281 0.0449677 0.022422 0.698732 9999 89.6104
119
+ 70 0 0.108525 0.0880334 0 0.198224 0.605217 9999 90.9091
120
+ 71 0.116991 0.00138185 0.0654282 0 0.306059 0.51014 9999 92.2078
121
+ 72 0 0.0331709 0 0.267023 0.0132804 0.686526 9999 93.5065
122
+ 73 0.0181794 0.220367 0.310484 0.0610545 0.0843189 0.305596 9999 94.8052
123
+ 74 0.156602 0.133796 0.0911782 0.0193956 0.0153484 0.58368 9999 96.1039
124
+ 75 0.24431 0.177735 0.186476 0.0816581 0.0165535 0.293268 9999 97.4026
125
+ 76 0.00538573 0.128483 0.270283 0.000259945 0.15223 0.443358 9999 98.7013
126
+ 77 0.10432 0.153996 0.159908 0 0.394424 0.187353 9999 100
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/cx_hires_giroux2022_cv0.log ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ >Running CIBERSORTx high-resolution GEP imputation...
2
+ >[Options] username: [REDACTED]
3
+ >[Options] token: [REDACTED]
4
+ >[Options] mixture: mixture.txt
5
+ >[Options] sigmatrix: sigmatrix.txt
6
+ >[Options] cibresults: fractions_results.txt
7
+ >[Options] rmbatchSmode: TRUE
8
+ >[Options] sourceGEPs: source_geps.txt
9
+ >[Options] subsetgenes: hires_genes.txt
10
+ >[Options] threads: 4
11
+ [HiRes] Abort! Unrecognized argume fnt: --verbose
12
+ >Running CIBERSORTx high-resolution GEP imputation...
13
+ >[Options] username: [REDACTED]
14
+ >[Options] token: [REDACTED]
15
+ >[Options] mixture: mixture.txt
16
+ >[Options] sigmatrix: sigmatrix.txt
17
+ >[Options] cibresults: fractions_results.txt
18
+ >[Options] rmbatchSmode: TRUE
19
+ >[Options] sourceGEPs: source_geps.txt
20
+ >[Options] subsetgenes: hires_genes.txt
21
+ >[Options] threads: 4
22
+ terminate called after throwing an instance of 'std::runtime_error'
23
+ what(): ERROR - utility::checkValidMount(): fractions_results.txt not found in /src/outdir/. Please check the parent directory's bind mount.
24
+ qemu: uncaught target signal 6 (Aborted) - core dumped
25
+ >Running CIBERSORTx high-resolution GEP imputation...
26
+ >[Options] username: [REDACTED]
27
+ >[Options] token: [REDACTED]
28
+ >[Options] mixture: mixture.txt
29
+ >[Options] sigmatrix: sigmatrix.txt
30
+ >[Options] cibresults: fractions_results.txt
31
+ >[Options] rmbatchSmode: TRUE
32
+ >[Options] sourceGEPs: source_geps.txt
33
+ >[Options] subsetgenes: hires_genes.txt
34
+ >[Options] threads: 4
35
+ CIBERSORTxHiRes: /src/src/../include/Eigen/src/Core/Product.h:97: Eigen::Product<Lhs, Rhs, Option>::Product(const Lhs&, const Rhs&) [with _Lhs = Eigen::Matrix<double, -1, -1>; _Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Matrix<double, -1, -1>; Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>]: Assertion `lhs.cols() == rhs.rows() && "invalid matrix product" && "if you wanted a coeff-wise or a dot product use the respective explicit functions"' failed.
36
+ qemu: uncaught target signal 6 (Aborted) - core dumped