So after feature counts of RNA-seq bam file, I have an count file. I input the count file into DEseq, and got results which contain foldchange values such as 0/inf/NA, so how can I deal with these values when I want to use foldchange to filter out most up-/down- regulated genes?
foldchange == NA, I think this case can directly dropped. But what about
id baseMean baseMeanA baseMeanB foldChange log2FoldChange pval padj SOCS4 1834 2321 1348 0.580 -0.7844 0.00038 0.844 NPIPA3 34.1155 68.23175774754 0 0 Inf 7.51E-09 7.71E-05 AL627309.5 2.0225 0 4.045 Inf Inf 0.434 1 AP002833.2 0 0 0 NA NA NA NA