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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PLoS computational biology Jg. 17; H. 11; S. e1009442
Hauptverfasser: Mallick, Himel, Rahnavard, Ali, McIver, Lauren J., Ma, Siyuan, Zhang, Yancong, Nguyen, Long H., Tickle, Timothy L., Weingart, George, Ren, Boyu, Schwager, Emma H., Chatterjee, Suvo, Thompson, Kelsey N., Wilkinson, Jeremy E., Subramanian, Ayshwarya, Lu, Yiren, Waldron, Levi, Paulson, Joseph N., Franzosa, Eric A., Bravo, Hector Corrada, Huttenhower, Curtis
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 16.11.2021
Public Library of Science (PLoS)
Schlagworte:
ISSN:1553-7358, 1553-734X, 1553-7358
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!