Also, this paper from some of the limma creators really explains well some of the core issues in analyzing RNA-seq data and is one of my favorite RNA-seq related papers. https://t.co/w4SzgPiqUB
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@arjunrajlab @NimwegenLab Figure 1A of the voom paper highlights the greater contribution of technical artifacts to variance for genes with low mean counts in RNASeq. I’d expect similar effects for other analyses but haven’t seen studies. https://t.co/UZ0
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@jashapiro @IanDworkin @gsherloc Is voom any better? https://t.co/Ipwj5mSXPY
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Ironically this is also the case for the voom paper https://t.co/1pX86J08As, which also performs quite well... https://t.co/2ToKHRouz6