Processed datasets and codes for differential expression analysis on polulation-level RNA-seq data
收藏资源简介：
This version includes codes and data necessary to reproduce all results in our response to the correspondences ("Response to 'Neglecting normalization impact in semi‑synthetic RNA‑seq data simulation generates artificial false positives' and 'Winsorization greatly reduces false positives by popular differential expression methods when analyzing human population samples'") (https://doi.org/10.1186/s13059-024-03232-8). It also includes a README file to guide the reproduction of the results in our original publication and resources for the goodness of fit test in the original publication, "Exaggerated False Positives by Popular Differential Expression Methods When Analyzing Human Population Samples" (https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02648-4).
