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Additional file 3: of DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis

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posted on 2019-04-16, 05:00 authored by Bin Xiong, Yiben Yang, Frank Fineis, Ji-Ping Wang
Table S1. This table summarizes the number of false positives claimed in differential expression analysis by edgeR from different normalization methods at q value threshold = 0.05 for data sets including SEQC-AA, GBM RIN10 vs. RIN4, GBM RIN6 vs. RIN4, PBMC-S01, DLPFC Br1729 Ribo-zero, DLPFC Br1729 poly(A)+, and breast tumor FF vs. (XLSX 9 kb)


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