DECANT prioritizes biological heterogeneity over batch effects for various single-cell omics data

Résumé fourni par la source

Batch effects increasingly confound biological structure in single-cell atlases. Such effects are usually corrected during downstream integration, but are rarely weighed against biological signal during feature selection. DECANT starts batch control at feature selection by weighing biological discrimination against batch association for each gene, genomic region or accessibility peak, thereby providing downstream methods with a less batch-dominated and biologically informative feature set. Across nine datasets spanning scRNA-seq, scDNAm and scATAC-seq, each analysed with four modality-matched downstream workflows, DECANT outperformed the corresponding baselines in the vast majority of comparisons, improving the balance between biological conservation and batch mixing across all three modalities. Beyond these benchmarks, the selected features enabled regulatory pathway analysis at cell-type resolution, uncovered additional candidate differentially methylated regions and showed sharper brain-tissue specificity in cortical methylation data.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.