Performance determinants of unsupervised clustering methods for microbiome data

BACKGROUND: In microbiome data analysis, unsupervised clustering is often used to identify naturally occurring clusters, which can then be assessed for associations with characteristics of interest. In this work, we systematically compared beta diversity and clustering methods commonly used in micro...

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Detalles Bibliográficos
Autores principales: Shi, Yushu, Zhang, Liangliang, Peterson, Christine B., Do, Kim-Anh, Jenq, Robert R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817542/
https://www.ncbi.nlm.nih.gov/pubmed/35120564
http://dx.doi.org/10.1186/s40168-021-01199-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817542/
https://www.ncbi.nlm.nih.gov/pubmed/35120564
http://dx.doi.org/10.1186/s40168-021-01199-3

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