Original paper

Exaggerated false positives by popular differential expression methods when analyzing human population samples

Volume: 23, Issue: 1
Published: Mar 15, 2022
Abstract
When identifying differentially expressed genes between two conditions using human population RNA-seq samples, we found a phenomenon by permutation analysis: two popular bioinformatics methods, DESeq2 and edgeR, have unexpectedly high false discovery rates. Expanding the analysis to limma-voom, NOISeq, dearseq, and Wilcoxon rank-sum test, we found that FDR control is often failed except for the Wilcoxon rank-sum test. Particularly, the actual...
Paper Details
Title
Exaggerated false positives by popular differential expression methods when analyzing human population samples
Published Date
Mar 15, 2022
Volume
23
Issue
1
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