well yes i did that too, but when i plot heatmap i dont see much differences,and lets say i have differentially expressed gene list of 1000 ,i dont think that would be wise to take into downstream analysis .I want to narrow it down..make it more stringent
I m getting deseq2 output of differentially expressed genes with p ,0.05 .So from that list of differentially expressed i want to take out the most variable genes getting expressed .Is there any way to do that .
Any suggestion or help would be highly appreciated.
1 answer
I think, by "most variable" you mean in terms of "differences in expression between the two samples". You need to have fold change values for that. Generally, genes with p<0.05 and log2FC > 1 (more than two fold) are selected.
The p-value and log2FC thresholds are entirely arbitrary. Just rank your genes in decreasing order of differential expression and take the top N, N being whatever is reasonable in your context. Sometimes, it may help to plot the values in decreasing order. You may notice an elbow which may suggest a convenient cut-off.
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