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paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot3/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 11 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): 162
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot3/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
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+ >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
+ >44153 DEG expressed across 6 samples were identified
32
+ >Group size: 481, Kappa: 12.8671053188237
33
+ >Best kappa: 12.8671053188237
34
+ >SVD UpperRightDiag: 60342
35
+ >SVD LowerRightDiag: 4689.64
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+ >=============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
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+ >==================CIBERSORTx===================
49
+ column B cell DC Monocyte NK cell Other T cell P-value Correlation RMSE %Completed
50
+ 1 0 0.0291666 0.382535 0 0.219005 0.369293 9999 9.09091
51
+ 2 0.071216 0.00703171 0.448271 0.0485397 0.240293 0.184649 9999 18.1818
52
+ 3 0.113274 0 0.180008 0.147048 0.0763939 0.483276 9999 27.2727
53
+ 4 0.116071 0 0.162946 0.09386 0.143466 0.483656 9999 36.3636
54
+ 5 0.0548955 0.0197915 0.255246 0.0361238 0.142322 0.491622 9999 45.4545
55
+ 6 0.135094 0.026716 0.301306 0.0431026 0.227993 0.265789 9999 54.5455
56
+ 7 0.0179547 0.0244397 0.218918 0.0177332 0.295549 0.425405 9999 63.6364
57
+ 8 0.0329373 0.0377795 0.253217 0 0.206061 0.470005 9999 72.7273
58
+ 9 0 0 0.69544 0 0.0956875 0.208873 9999 81.8182
59
+ 10 0.0645813 0.0117557 0.188951 0 0.119508 0.615204 9999 90.9091
60
+ 11 0.0914625 0.00900582 0.164691 0 0.113844 0.620996 9999 100
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot4/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 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): 107
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/cibersortx/giroux2022/fewshot4/out_fractions/.run.log ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ >45593 DEG expressed across 6 samples were identified
32
+ >Group size: 474, Kappa: 10.484106886885
33
+ >Best kappa: 10.484106886885
34
+ >SVD UpperRightDiag: 60128.4
35
+ >SVD LowerRightDiag: 5735.19
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 0 0.60398 0.0748945 0.101548 0.219577 9999 10
51
+ 2 0.0160469 0.0734395 0.303738 0.116683 0.264135 0.225958 9999 20
52
+ 3 0.0285168 0.107624 0.603812 0.10871 0.0296611 0.121677 9999 30
53
+ 4 0.0462915 0.0769986 0.102295 0.191577 0.211655 0.371183 9999 40
54
+ 5 0.0441096 0.0400439 0.175352 0.185688 0.205578 0.349229 9999 50
55
+ 6 0.0131109 0.0513124 0.055267 0 0.109691 0.770618 9999 60
56
+ 7 0.0766422 0.0239907 0.140404 0.00048782 0.0521194 0.706356 9999 70
57
+ 8 0.0368341 0.036752 0.192858 0 0.231585 0.50197 9999 80
58
+ 9 0.0373293 0.0213613 0.114916 0.0400504 0.2151 0.571243 9999 90
59
+ 10 0.0411904 0.0359353 0.198823 0.0309644 0.1713 0.521787 9999 100