A multidimensional benchmark of confounder-aware differential abundance strategies for single- and multi-cohort microbiome studies
Xinyue Zhu, Lei Liu, Yiming Cao, Yunzhe Sheng, Bin Yang, Dingfeng Wu, Guoqing Zhang, Guoping Zhao, Na Jiao, Ruixin Zhu
This paper benchmarks confounder-aware differential abundance methods for microbiome studies, finding that covariate adjustment improves false discovery control but reduces sensitivity, with different strategies performing better under various conditions.
bioRxiv · Nov 2, 2026 · PreprintBioinformatics