A hierarchical Bayesian approach for detecting global microbiome associations

DOI10.1515/SAGMB-2021-0047zbMath1496.92011OpenAlexW3209988150MaRDI QIDQ2170539

Emma Beamish, Frank Dondelinger, Albert Davies, Rachael Rigby, Farhad Hatami

Publication date: 6 September 2022

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2021-0047

zbMATH Keywords

Bayesian modelingmicrobiomeglobal effects

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Physiology (general) (92C30) Microbiology (92C70)

Cites Work

• Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis
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