I have a question regarding the filtering of lowly expressed genes in analysis of RNAseq data. What I understood from literature is that these low counts genes are basically a noise and not a true picture of differentially expressed genes, so they need to be removed if very low counts are observed for all the samples (not only in one sample).
I wonder if there is any other basis of it, mainly in terms of :
1). Differential expression
3). any Molecular / Biological
I appreciate any suggestion.