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Context-Aware Dimensionality Reduction Deconvolutes Gut Microbial Community Dynamics

NCJ Number
Cameron Martino; Liat Shenhav; Clarisse A. Marotz; George Armstrong; Daniel McDonald; Yoshiki Vazquez-Baeza; James T. Morton; Lingjing Jiang; Maria G. Dominguez-Bello; Austin D. Swafford; Eran Halperin; Rob Knight
Date Published
12 pages
Since the translational power of human microbiome studies is limited by high interindividual variation, this article describes a dimensionality reduction tool, compositional tensor factorization (CTF), that incorporates information from the same host across multiple samples to reveal patterns driving differences in microbial composition across phenotypes.
CTF identifies robust patterns in sparse compositional datasets, allowing for the detection of microbial changes associated with specific phenotypes that are reproducible across datasets. (publisher abstract modified)

Date Published: January 1, 2020