遇见数据集

corr-bench data v1.0: results for batch correction benchmarking on GTEx

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Zenodo2026-05-14 更新2026-05-26 收录
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Analysis results accompanying the commentary "Quality, not quantity, of enriched pathways should guide benchmarks of batch correction methods in biological networks" (Babaie, Quackenbush, Ben Guebila). Contains per-tissue WGCNA module assignments, ORA (GO:BP and Reactome/KEGG CP), GSEA tables, CorrAdjust model outputs, COBRA MLE/NNLS/NNLasso outputs, train/test R² for COBRA, runtime benchmark summaries, and the GMT gene set files used for enrichment, across 11 GTEx tissues. Gene filter: all results use genes with median raw count ≥ 1 across training samples. See the GitHub repository QuackenbushLab/corr-bench for plotting scripts and extraction instructions.

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2026-05-14
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