Winsorization greatly reduces false positives by popular differential expression methods when analyzing human population samples
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A recent study found severely inflated type I error rates for DESeq2 and edgeR, two dominant tools used for differential expression analysis of RNA-seq data. Here, we show that by properly addressing the outliers in the RNA-Seq data using winsorization, the ty... ...
