Kilian Dahm

metadeconfoundR: Covariate analysis of high-dimensional cross-sectional omics data

This work benchmarked metadeconfoundR against state-of-the-art methods for identifying biomarkers using simulated ground truth derived from microbiome data, and demonstrated its ability to disentangle confounding effects while preserving statistical power.