Good day, Now I notice the differences in how the prior counts are applied. In edgeR's cpm:
prior.count.scaled <- lib.size/mean(lib.size) * prior.count lib.size <- lib.size + 2 * prior.count.scaled ... ... t(x) + prior.count.scaled but in limma's voom: t(counts + 0.5)/(lib.size + 1) Basically, the values added to the counts and the library size ignore the library size of each sample in the voom function. -------------------------------------- Dario Strbenac University of Sydney Camperdown NSW 2050 Australia _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel