Hello,
this is the first time that I write here, I need help with my data.
I have performed an RNA-seq with 2 controls and 2 treats.
I have after NOIseq filtering 17554 genes but when I do contrast with Deseq2 and filter out all padj = NA only 5983 genes remain, among this only 8 have a padj < 0.05.
Do you know why I have too many genes with a padj = NA?
DESeq2 has a section in their documentation that states why adjusted p-values will be set to NA. The reasons include genes with outlier counts, having low mean expression values, and having all 0 counts. Without seeing your data and code it would impossible to give any specific advice unfortunately.
Thank you.
I have see DESeq2 documentation and I think that the reason is :
"If a row is filtered by automatic independent filtering, for having a low mean normalized count, then only the adjusted p value will be set to NA. Description and customization of independent filtering is described below"
because I have a pvalue and only the padj is NA.
I will check better this situation.
Thank you. I have see DESeq2 documentation and I think that the reason is :
"If a row is filtered by automatic independent filtering, for having a low mean normalized count, then only the adjusted p value will be set to NA. Description and customization of independent filtering is described below"
because I have a pvalue and only the padj is NA. I will check better this situation.
Thanks you very much
You can turn independent filtering off, then the result should be the same as running p.adjust on the raw p-values.
Hi rpolicastro, Did you manage to know the reason for obtaining adj. pvalue NA after performing DESEQ2?