GSECAdocker_output

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[*] loading datasets ...
[*] GSECA running ...
 === FMM and DD === 
[*] NE threshold: 0.01
[*] Number of Expression Classes: 7
 -- Parallelizing 2 cores ...
[*] FMM Getting thresholds ...
[*] DD Setting expression classes ...
  |======================================================================| 100%
  |======================================================================| 100%
 === Gene Set Enrichment Class Analysis === 
[*] GSECA core ...
[*] GSECA scoring ...
  |======================================================================| 100%
 [*] Empirical P-Value estimation ... 
R Version:  R version 3.6.1 (2019-07-05) 

snowfall 1.84-6.1 initialized (using snow 0.4-3): parallel execution on 2 CPUs.

Library parallel loaded.
Library parallel loaded in cluster.

Killed
The command '/bin/sh -c R -e "source('Scripts/config.R');M = read.delim('Examples/PRAD.ptenloss.M.tsv');L = read.delim('Examples/PRAD.ptenloss.L.tsv')[,1];pl = read.gmt.file('gene_sets/cereda.158.KEGG.gmt');res = GSECA_executor(M, L, pl, outdir = 'Results', analysis = 'my_analysis', N.CORES = 2, EMPIRICAL = T, BOOTSTRP = T,  nsim = 2, AS = 0.25, PEMP = 1, SR = 0.7, toprank = 10, iphen = c('CASE', 'CNTR'));message(typeof(res));"' returned a non-zero code: 137