A Bayesian method for identifying associations between response variables and bacterial community composition.
Determining associations between intestinal bacteria and continuously measured physiological outcomes is important for understanding the bacteria-host relationship but is not straightforward since abundance data (compositional data) are not normally distributed. To address this issue, we developed a...
Main Authors: | Adrian Verster, Nicholas Petronella, Judy Green, Fernando Matias, Stephen P J Brooks |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-07-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1010108 |
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