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377 results • Page 1 of 8
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Comment: Per gene Covariates by Michael Love 34k
If you have per gene and per sample corrections, you can use normalization factors (see DESeq2 paper and vignette first on this topic). Fo…
Comment: deseq2 machine sizing best practices for very large data set by Michael Love 34k
I recommend and use limma-voom for large bulk datasets often, it is much faster than GLM-based methods.
Comment: branchpointer: trouble to read gtf by b.signal • 0
Hi Frank, Your example gtf is missing a gene_id. In the old code we also required a transcript_type/transcript_biotype, and a gene_type/g…
Comment: deseq2 machine sizing best practices for very large data set by ATpoint ▴ 840
https://support.bioconductor.org/p/73399/#73400
Comment: Per gene Covariates by Paola • 0
Hi Michael, I have a similar problem where we want to run a LRT analysis on RNA-Seq to find differences across 4 groups and correcting for…
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How does DESeq2 handle zero counts in one condition?
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