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3.2 years ago
Anupama
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If deseq2 is used to analyze the differentially expressed gene, what is the effect of outliers on the results of DEGs?
If deseq2 is used to analyze the differentially expressed gene, what is the effect of outliers on the results of DEGs?
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.
https://hbctraining.github.io/DGE_workshop/lessons/05_DGE_DESeq2_analysis2.html
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