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Comment: How should I know which platforms are available for TCGA methylation?
by
xiaofeiwang198266
• 0
Yes, it does. But, I mean how should I know in advance or where can I find the information before running code. Because I have several proj…
Comment: Analysis of large RNA-Seq Datasets
by
Michael Love
42k
Thanks for pointing to that repo @atpoint The key insight with RUV is that, even with large count outliers, adding the RUV factors preven…
Comment: Easiest way to convert read10xMolInfo data into a dataframe in R with gene label
by
daldabrown9
• 0
> Initially posted to > https://github.com/MarioniLab/DropletUtils/issues/104 [paybyplate][1] Great solution. It solved my problem. Thanks…
Answer: Zero intra-block correlation in RRBS analysis using voomLmFit with block
by
Gordon Smyth
51k
Thanks for pointing out this issue. Yes, the fact that limma is using sample effects to convert the count data into proportion data means t…
Comment: New to Deseq2 - DEG questions / MA plot
by
ATpoint
★ 4.5k
More generally, vignettes of tools and packages are always at the front page of their `browseVignettes("DESeq2")`.
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Answer: Analysis of large RNA-Seq Datasets
Answer: Analysis of large RNA-Seq Datasets
A: TMM normalization on sparse datasets
A: TMM normalization on sparse datasets
Answer: DESeq2 - interactions when using factors concatenated into group
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