A. Hero

Hierarchical sparse Bayesian multitask learning for disease prediction in pooled microbiome studies

Abstract Background: Microbiome-based disease prediction across pooled studies is challenging because the data are high dimensional, heterogeneous, and often too limited to support reliable study-specific models. We propose a hierarchical sparse Bayesian multitask logistic regres...