metadeconfoundR: covariate analysis of high-dimensional cross-sectional omics data
Identifying disease biomarkers from large molecular datasets is complicated by correlated and confounded signals like comorbidities and treatment regimens, batch effects, and cohort biases. These effects bias statistical inference and clinical conclusions. Robust methodologies are fundamental for reliable biomark...