Hello! I had a question that I could not find the answer to on the DESeq2 vignettes page or previous forum posts:
After running res <- results(dds) and summary(res), the code says I have 8 outliers (or 80 outliers for another dataset). Is there an easy way to figure out the identities of the genes that are identified as outliers? I could manually check differences in the res objects after running results(dds) and results(dds, cooksCutoff=FALSE), but that felt clunky and time-consuming.