Multivariable association discovery in population-scale meta-omics studies.

Multivariable association discovery in population-scale meta-omics studies.

It is challenging to associate features such as human health outcomes, diet, environmental conditions, or other metadata to microbial community measurements, due in part to their quantitative properties. Microbiome multi-omics are typically noisy, sparse (zero-inflated), high-dimensional, extremely...

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Bibliographic Details
Main Authors: 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, Jeremy E Wilkinson, Ayshwarya Subramanian, Yiren Lu, Levi Waldron, Joseph N Paulson, Eric A Franzosa, Hector Corrada Bravo, Curtis Huttenhower
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-11-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1009442

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https://doi.org/10.1371/journal.pcbi.1009442

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