We have been using DESeq2 for differential expression analysis previously. On the dataset I'm working on (microRNA expression), I don't want to use the normalizing method implemented in the DESeq2 package. I have therefore normalized the dataset myself. Is there any way to use DESeq2 for differential expression analysis of already normalized datasets? If not, do bioconductor have any other R-packages I could use for this purpose?
Thanks for any answers,