A Bayesian method for detecting pairwise associations in compositional data. - Emma H. Schwager; Himel Mallick; Steffen Ventz; Curtis Huttenhower (PLoS Comput. Biol., 2017)

Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. - Emma H. Schwager; Katharina Jansson; Asif Rahman; S. Schiffer; Yale Chang; Gregory Boverman; Brian Gross; Minnan Xu-Wilson; P. Boehme; Hubert Truebel; Joseph J. Frassica (npj Digit. Medicine, 2021)

A statistical model for describing and simulating microbial community profiles. - Siyuan Ma; Boyu Ren; Himel Mallick; Yo Sup Moon; Emma H. Schwager; Sagun Maharjan; Timothy L. Tickle; Yiren Lu 003; Rachel N. Carmody; Eric A. Franzosa; Lucas Janson; Curtis Huttenhower (PLoS Comput. Biol., 2021)

Multivariable association discovery in population-scale meta-omics studies. - Himel Mallick; Ali Rahnavard; Lauren J. McIver; Siyuan Ma; Yancong Zhang; Long H. Nguyen; Timothy L. Tickle; George Weingart; Boyu Ren; Emma H. Schwager; Suvo Chatterjee; Kelsey N. Thompson; et al. (PLoS Comput. Biol., 2021)

High-sensitivity pattern discovery in large, paired multiomic datasets. - Andrew R. Ghazi; Kathleen Sucipto; Ali Rahnavard; Eric A. Franzosa; Lauren J. McIver; Jason Lloyd-Price; Emma H. Schwager; George Weingart; Yo Sup Moon; Xochitl C. Morgan; Levi Waldron; Curtis Huttenhower (Bioinform., 2022)