Datasets, reproducible codes, and results for evaluating differential expression analysis methods on population-level RNA-seq data

This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, Genome Biology 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.

本上传资源包含复现我们发表于《基因组生物学》（Genome Biology）2022年第23卷第79期、题为《分析人类群体样本时主流差异表达分析方法存在夸大假阳性问题》的通讯文章（作者为Li Y、Ge X、Peng F、Li W、Li JJ）中所述的错误发现率（False Discovery Rate, FDR）与检验效能（Power）结果所需的R代码与数据，DOI: 10.1186/s13059-022-02648-4。