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

<p>This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence &quot;Neglecting normalization impact in semi-synthetic RNA-seq data simulation generates artificial false positives&quot; to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, <em>Genome Biology</em> 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4

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