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This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence "Neglecting normalization impact in semi-synthetic RNA-seq data simulation generates artificial false positives" 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.
{"references": ["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", "Li Y, Ge X. Processed datasets for differential expression analysis on polulation-level RNA-seq data (Version 4) [Data set]. Zenodo. 2022. DOI: 10.5281/zenodo.6326786."]}
Differential expression analysis, Semi-synthetic simulations, RNA-seq data simulation, Human population samples
Differential expression analysis, Semi-synthetic simulations, RNA-seq data simulation, Human population samples
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