A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type-Reference-Cited by-同舟云学术

A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type

Published:2020-05-11 Issue:5 Volume:16 Page:e1007895
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Le Goallec Alan^ORCID,Tierney Braden T.^ORCID,Luber Jacob M.^ORCID,Cofer Evan M.^ORCID,Kostic Aleksandar D.^ORCID,Patel Chirag J.^ORCID

Funder

National Institute of Allergy and Infectious Diseases

National Institute of Environmental Health Sciences

National Institute of Diabetes and Digestive and Kidney Diseases

National Science Foundation

ADA Foundation

Richard and Susan Smith Family Foundation

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference42 articles.

1. Environment dominates over host genetics in shaping human gut microbiota;D Rothschild;Nature,2018

2. Structural variation in the gut microbiome associates with host health;D Zeevi;Nature,2019

3. A Metagenomic Meta-analysis Reveals Functional Signatures of Health and Disease in the Human Gut Microbiome;CR Armour;mSystems,2019

4. Meta-analysis of gut microbiome studies identifies disease-specific and shared responses;C Duvallet;Nat Commun,2017

5. Best practices for analysing microbiomes;R Knight;Nat Rev Microbiol,2018

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