Entering edit mode
7.7 years ago
ebrudermanver
▴
100
On an RNA-Seq dataset, I want to apply a clustering algorithm which requires zero-mean uni-variance gene expression levels. I am wondering whether it makes sense to use "scale" function in R after taking logarithm of the counts. For microarray data, I was actually using the scale function which (as far as I know) makes sense; but this is the first time I am using RNA-Seq. I heard about "voom" normalization (in "limma" library), but I don't really want to use that since I am not really familiar with the details.
