replicate 1
passAnswer
-0.060666203222433594
Workflow
UDT: codex-pydeseq2-sex-fam138a-20260708215930
Question
Using the batch-corrected read counts with batch as a covariate in the design formula, perform a sex-specific (M vs F) differential expression analysis (abs lfc>0.5, basemean>10 and using lfc shrinkage), what is the log2 fold change of FAM138A? Use pydeseq2 with default shrinkage method.
Galaxy-API code with skills
3/3 passreplicate 2
passAnswer
-0.0603966860667
Workflow
UDT: codex_pydeseq2_fam138a_sex
replicate 3
passAnswer
-0.06039668606673749
Workflow
UDT: codex-pydeseq2-sex-fam138a
Galaxy-API code without skills
3/3 passreplicate 1
passAnswer
-0.06039668606673749
Workflow
UDT: codex-fam138a-pydeseq2-20260708t220106z
replicate 2
passAnswer
-0.060666203222433594
Workflow
UDT: codex-pydeseq2-sex-de-fam138a
replicate 3
passAnswer
-0.060396738567616334
Workflow
pydeseq2-sex-mvf-fam138a
Open-ended code with skills
3/3 passreplicate 1
passAnswer
-0.060396769709177636
Workflow
local codePyDESeq2
replicate 2
passAnswer
-0.0603967697091776
Workflow
local codePyDESeq2
replicate 3
passAnswer
-0.0603967697092
Workflow
local codePyDESeq2
Open-ended code without skills
3/3 passreplicate 1
passAnswer
-0.060396769709177636
Workflow
local codePyDESeq2
replicate 2
passAnswer
-0.060396769709177636
Workflow
local codePyDESeq2
replicate 3
passAnswer
-0.060396769709177636
Workflow
local codePyDESeq2