DESeq2
If deseq2 is used to analyze the differentially expressed gene, what is the effect of outliers on the results of DEGs?
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DESeq2 detects automatically count outliers using Cooks’s distance and removes these genes from analysis. It also automatically removes genes whose mean of normalized counts is below a threshold determined by an optimization procedure. Removing these genes with low counts improves the detection power by making the multiple testing adjustment of the p-values less severe.
hbctraining.github.io/DGE_workshop/lessons/05_DGE_DESeq2_analysis2.html
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