Gene length correction for dge
For any DGE workflow starting with raw counts (DESeq2, edgeR, Limma-Voom) etc, are the counts corrected for gene length? Also, with rlog, vst or voom transformed counts, is it possible to compare gene to gene rather than one gene sample to sample? Can I say one gene is more highly expressed than another gene?
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See @Devon's answer for correction for gene length part of your question: DESeq2 normalisation: is the size of the gene taken into account?
thanks for the link. That was helpful.