Bayesian compositional regression with microbiome features via variational inference

Bayesian compositional regression with microbiome features via variational inference

Abstract The microbiome plays a key role in the health of the human body. Interest often lies in finding features of the microbiome, alongside other covariates, which are associated with a phenotype of interest. One important property of microbiome data, which is often overlooked, is its composition...

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Bibliographic Details
Main Authors: Darren A. V. Scott, Ernest Benavente, Julian Libiseller-Egger, Dmitry Fedorov, Jody Phelan, Elena Ilina, Polina Tikhonova, Alexander Kudryavstev, Julia Galeeva, Taane Clark, Alex Lewin
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Bioinformatics
Subjects:
Compositional
Variational inference
Microbiome
Singular multivariate normal
Markov chain Monte Carlo
Online Access:https://doi.org/10.1186/s12859-023-05219-x

Internet

https://doi.org/10.1186/s12859-023-05219-x

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