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Comment: Using edgeR and a spike-in to calculate absolute abundance
by
Miguel
• 0
I have the same issue. As far as I understand, many of the approximations to compute differential abundances include normalization steps wh…
Comment: shinyMethyl - saving the file
by
dorota.komar
• 0
ok, it seems that I can embed shinyMethyl as an app in Rmarkdown and it should allow me to keep an interactive character. No idea how to do…
Comment: using featureCounts (Subread) to count only spliced reads per gene - behavior of
by
Gordon Smyth
48k
The splitOnly option is designed to strictly return split reads, i.e., reads that identify exon junctions rather than simply read-pairs ove…
Comment: blockwiseModule crashes in the end and doesn't generate modules
by
aletheabrown051
• 0
Re: [drift boss][1] Have you fixed this problem yet? [1]: https://driftboss.io
Comment: Deseq2 calculated log2foldchange not consistent with RPM in IP-small RNA-seq
by
Shihui
• 0
It makes sense that DeSeq2 normalized FPMs are more accurate. Thank you for the information!
Votes
Normalisation of data using DESeq2 with multi-groups
Answer: Normalisation of data using DESeq2 with multi-groups
Answer: Deseq2 calculated log2foldchange not consistent with RPM in IP-small RNA-seq
Comment: Deseq2 calculated log2foldchange not consistent with RPM in IP-small RNA-seq
Batch correction and Deseq2
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