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Clarify design formula and blind dispersion estimation #1367
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pinin4fjords
requested changes
Sep 2, 2024
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Agree with everything except restating defaults in the function calls.
pinin4fjords
approved these changes
Sep 3, 2024
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I think it could be useful to explicitly mention what the design formula
~1
is doing (= specifying an intercept-only model) and how this relates to the dispersion estimation that happens during the variance stabilizing transformation (= the default argument of both rlog and vst isblind=TRUE
, which does the same thing as setting an intercept-only model).Source: https://www.bioconductor.org/packages/release/bioc/vignettes/DESeq2/inst/doc/DESeq2.html#blind-dispersion-estimation
This tripped me up a bit as I was exploring the code, although in hindsight it makes perfect sense: it is mentioned explicitly in several places that the rnaseq pipeline does not take into account any sample metadata, so
~1
is the only possible design to use, and the deseq2 docs clearly recommend usingblind=T
(the default) for exploratory quality control plots.Since
blind=TRUE
is the default, I guess specifying it in the code is a bit redundant, but personally I like explicit code more than implicit.Cheers!
PR checklist
nf-core lint
). => lint test keeps failing locally onfiles_unchanged: docs/images/nf-core-rnaseq_logo_dark.png does not match the template
nextflow run . -profile test,docker --outdir <OUTDIR>
).nextflow run . -profile debug,test,docker --outdir <OUTDIR>
).docs/usage.md
is updated.docs/output.md
is updated.CHANGELOG.md
is updated.README.md
is updated (including new tool citations and authors/contributors).