BIRDMAn: A Bayesian differential abundance framework that enables robust inference of host-microbe associations

Quantifying the differential abundance (DA) of specific taxa among experimental groups in microbiome studies is challenging due to data characteristics (e.g., compositionality, sparsity) and specific study designs (e.g., repeated measures, meta-analysis, cross-over). Here we present BIRDMAn (Bayesia...

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Detalles Bibliográficos
Autores principales: Rahman, Gibraan, Morton, James T., Martino, Cameron, Sepich-Poore, Gregory D., Allaband, Celeste, Guccione, Caitlin, Chen, Yang, Hakim, Daniel, Estaki, Mehrbod, Knight, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915500/
https://www.ncbi.nlm.nih.gov/pubmed/36778470
http://dx.doi.org/10.1101/2023.01.30.526328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915500/
https://www.ncbi.nlm.nih.gov/pubmed/36778470
http://dx.doi.org/10.1101/2023.01.30.526328

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