Hello all,
Just a quick answer by experts
I am dealing with miRNA-seq data and having some doubt.
1) Filtering by resSig <- res[ res$padj < .1, ]
I am not able to get any significant miRNAs on my sample while by using
resSig <- res[ res$pval < 0.05, ]
i am getting about 41 DE miRNAs (up and down)…
what should i do ??? may i rigid with only pval makes sense ??? I mean "i just keep going only filtering by pval < 0.05, is that enough to consider my genes significantly differentially expressed? "
2) after this analysis may go further for filtering by overall counts, plotting Heat map and PCA plots would be good results ??? This makes any significant sense ?? I am asking because, i am not very expert in statistics.
Thanks, any help would be appreciated
Just a quick answer by experts
I am dealing with miRNA-seq data and having some doubt.
1) Filtering by resSig <- res[ res$padj < .1, ]
I am not able to get any significant miRNAs on my sample while by using
resSig <- res[ res$pval < 0.05, ]
i am getting about 41 DE miRNAs (up and down)…
what should i do ??? may i rigid with only pval makes sense ??? I mean "i just keep going only filtering by pval < 0.05, is that enough to consider my genes significantly differentially expressed? "
2) after this analysis may go further for filtering by overall counts, plotting Heat map and PCA plots would be good results ??? This makes any significant sense ?? I am asking because, i am not very expert in statistics.
Thanks, any help would be appreciated
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