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)
Context-Aware Dimensionality Reduction Deconvolutes Gut Microbial Community Dynamics
NCJ Number
255160
Journal
Nature Biotechnology Dated: 2020
Date Published
2020
Length
12 pages
Annotation
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.
Abstract
Date Published: January 1, 2020