TY - JOUR
T1 - Context-aware dimensionality reduction deconvolutes gut microbial community dynamics
AU - Martino, Cameron
AU - Shenhav, Liat
AU - Marotz, Clarisse A.
AU - Armstrong, George
AU - McDonald, Daniel
AU - Vázquez-Baeza, Yoshiki
AU - Morton, James T.
AU - Jiang, Lingjing
AU - Dominguez-Bello, Maria Gloria
AU - Swafford, Austin D.
AU - Halperin, Eran
AU - Knight, Rob
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2021/2
Y1 - 2021/2
N2 - The translational power of human microbiome studies is limited by high interindividual variation. We describe 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.
AB - The translational power of human microbiome studies is limited by high interindividual variation. We describe 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.
UR - http://www.scopus.com/inward/record.url?scp=85089975301&partnerID=8YFLogxK
U2 - 10.1038/s41587-020-0660-7
DO - 10.1038/s41587-020-0660-7
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C2 - 32868914
AN - SCOPUS:85089975301
SN - 1087-0156
VL - 39
SP - 165
EP - 168
JO - Nature Biotechnology
JF - Nature Biotechnology
IS - 2
ER -