bioconductor-dirichletmultinomial
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
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Description
Dirichlet-multinomial mixture models can be used to describe variability in microbial metagenomic data. This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.
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Summary
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Information Last Updated
Jun 2, 2025 at 20:17
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LGPL-3
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