Dirichlet Multinomial Mixtures: Generative Models for Microbial Metagenomics

We introduce Dirichlet multinomial mixtures (DMM) for the probabilistic modelling of microbial metagenomics data. This data can be represented as a frequency matrix giving the number of times each taxa is observed in each sample. The samples have different size, and the matrix is sparse, as communit...

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Detalles Bibliográficos
Autores principales: Holmes, Ian, Harris, Keith, Quince, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272020/
https://www.ncbi.nlm.nih.gov/pubmed/22319561
http://dx.doi.org/10.1371/journal.pone.0030126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272020/
https://www.ncbi.nlm.nih.gov/pubmed/22319561
http://dx.doi.org/10.1371/journal.pone.0030126

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