Is there a way to get edgeR to take a matrix of count data containing say 10 subjects and 10 genes then perform regression for each gene ONLY using subjects with non-zero counts for that gene? So some genes may have 10 subjects, some 9 some 8 etc. This is for the purpose of investigating how 0 counts are impacting my results.
Barring that does anyone know how I would program a simple R loop to use lm() to do the same thing? Im merely intereted in comparing the genes' t-statistics with 0s in, and with 0s out.