<p>Using gradient boosting to predict health states from composition and function of the gut microbiome</p>

Patrick Smyth; Liam Elson; Julie Chih-Yu Chen

doi:10.7490/f1000research.1119969.1

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Smyth P, Elson L and Chen JCY. Using gradient boosting to predict health states from composition and function of the gut microbiome [version 1; not peer reviewed]. F1000Research 2024, 13:1281 (slides) (https://doi.org/10.7490/f1000research.1119969.1)

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Using gradient boosting to predict health states from composition and function of the gut microbiome

Patrick Smyth¹, Liam Elson, Julie Chih-Yu Chen

Published 25 Oct 2024 (https://doi.org/10.7490/f1000research.1119969.1)

Author Affiliations

¹ Bioinformatics, National Microbiology Laboratory, Winnipeg, Manitoba, Canada

Copyright © 2024 Smyth P et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 25 Oct 2024

Using gradient boosting to predict health states from composition and function of the gut microbiome
[version 1; not peer reviewed]

Patrick Smyth¹, Liam Elson, Julie Chih-Yu Chen

Author Affiliations

¹ Bioinformatics, National Microbiology Laboratory, Winnipeg, Manitoba, Canada

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

gut microbiome, microbiome, machine learning, COVID-19, SARS-Cov-2, Human Microbiome Project, metagenomics

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