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paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot1/hires_run.log ADDED
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+ >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
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+ >Loaded 10 mixture samples, 5563 genes, and 6 cell subsets...
12
+ >Window size adaptively set to 7
13
+ >Imputing high-resolution cell type GEPs...done.
14
+ >Writing output to disk ...done.
15
+ >Running time (sec): 108
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot1/out_fractions/.run.log ADDED
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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
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+ >[Options] perm: 0
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+ >[Options] QN: FALSE
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+ >[Options] verbose: TRUE
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+ >Making reference sample file.
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+ >Making phenotype class file.
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+ >==========Signature Matrix Settings============
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+ >Pure samples file: /src/outdir//CIBERSORTx_refsample_inferred_refsample.txt
21
+ >Phenotype classes file: /src/outdir//CIBERSORTx_refsample_inferred_phenoclasses.txt
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+ >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 18280 rows
29
+ >=============Make Signature Matrix=============
30
+ >Maximum condition number (kappa):999
31
+ >44028 DEG expressed across 6 samples were identified
32
+ >Group size: 500, Kappa: 12.651438468517
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+ >Best kappa: 12.651438468517
34
+ >SVD UpperRightDiag: 63334.9
35
+ >SVD LowerRightDiag: 5006.14
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+ >=============CIBERSORTx Settings===============
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+ >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
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+ >==================CIBERSORTx===================
49
+ column B cell DC Monocyte NK cell Other T cell P-value Correlation RMSE %Completed
50
+ 1 0 0 0.623057 0.0698763 0.136615 0.170451 9999 10
51
+ 2 0.0230168 0.0642763 0.297856 0.134569 0.254873 0.225409 9999 20
52
+ 3 0 0.0402428 0.346901 0.0475309 0.174035 0.39129 9999 30
53
+ 4 0.0885935 0 0.382776 0.111819 0.202551 0.21426 9999 40
54
+ 5 0.0234636 0.0210135 0.208531 0.0144696 0.18536 0.547162 9999 50
55
+ 6 0.0368853 0.0167927 0.116722 0.0549775 0.170356 0.604266 9999 60
56
+ 7 0.0133291 0.0180791 0.213117 0 0.152111 0.603363 9999 70
57
+ 8 0.00894354 0.00242072 0.613343 0.0199502 0.109446 0.245896 9999 80
58
+ 9 0.0755071 0 0.172581 0.00410781 0.107835 0.639969 9999 90
59
+ 10 0.110917 0 0.146089 0.0181959 0.11474 0.610058 9999 100
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot2/hires_run.log ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ >Loaded 12 mixture samples, 5563 genes, and 6 cell subsets...
12
+ >Window size adaptively set to 7
13
+ >Imputing high-resolution cell type GEPs...done.
14
+ >Writing output to disk ...done.
15
+ >Running time (sec): 147
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot2/out_fractions/.run.log ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 18280 rows
29
+ >=============Make Signature Matrix=============
30
+ >Maximum condition number (kappa):999
31
+ >44711 DEG expressed across 6 samples were identified
32
+ >Group size: 500, Kappa: 13.9190661056804
33
+ >Best kappa: 13.9190661056804
34
+ >SVD UpperRightDiag: 57539.6
35
+ >SVD LowerRightDiag: 4133.87
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 0.00833414 0.125776 0.70366 0.0496668 0.0964122 0.0161508 9999 8.33333
51
+ 2 0.0767706 0.0383764 0.175023 0.144835 0.246154 0.318841 9999 16.6667
52
+ 3 0.0594688 0.0495378 0.227982 0.0986122 0.23535 0.32905 9999 25
53
+ 4 0.141449 0 0.160124 0.100411 0.131114 0.466902 9999 33.3333
54
+ 5 0.145105 0 0.173995 0.0580081 0.194768 0.428124 9999 41.6667
55
+ 6 0.121468 0 0.252789 0.0321385 0.178714 0.41489 9999 50
56
+ 7 0.138466 0.0149452 0.329255 0.0344688 0.247946 0.234918 9999 58.3333
57
+ 8 0.054764 0 0.244907 0 0.324154 0.376175 9999 66.6667
58
+ 9 0.0961391 0 0.292964 0 0.195655 0.415242 9999 75
59
+ 10 0.00327789 0.056797 0.592214 0 0.108561 0.23915 9999 83.3333
60
+ 11 0.0898729 0 0.220724 0 0.142796 0.546608 9999 91.6667
61
+ 12 0.11715 0 0.186571 0 0.171024 0.525256 9999 100