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14 results • Page 1 of 1

Recent ...

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Comment: Why did PCA plots look exactly the same after adjusting for batch covariate in D by James W. MacDonald 67k

How you analyze your data is up to you. But do note that Subset * Conditions implies that you want to find genes that respond to stimulus d…

Comment: MBDseq analysis using qsea package by kf • 0

Hi Matthias, Happy new year! I wondered if it is possible to retrieve normalized value from each samples? makeTable seems only return beta…

Comment: Why did PCA plots look exactly the same after adjusting for batch covariate in D by Quang ▴ 10

Hi, James. I forgot to mention, but yes, I did run `DESeq2::DESeq()`. So, I ran `DESeq2::DESeqDataSetFromHTSeqCount`, then `DESeq2::DESeq()…

Answer: Why did PCA plots look exactly the same after adjusting for batch covariate in D by ATpoint ★ 4.6k

It's an FAQ in the vignette: https://bioconductor.org/packages/release/bioc/vignettes/DESeq2/inst/doc/DESeq2.html#why-after-vst-are-there-s…

Comment: Deseq2, enrichGO and ensembl ID by James W. MacDonald 67k

I am not sure I understand. You say that a unique Ensembl ID maps to multiple gene symbols. That doesn't mean you have two genes (it's just…

Votes

Why did PCA plots look exactly the same after adjusting for batch covariate in DESeq2 design?

A: Trajectory analysis for single cell sequencing

Answer: Annotation with org.Hs.eg.db Genome Build 38

Answer: Considerations behind the choice of RNAseq Differential Expression Analysis Tool

Awards • All

Popular Question to Assa Yeroslaviz ★ 1.5k