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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.'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
Last Updated
Jan 28, 2025 at 06:36
License
LGPL-3.0-or-later
Total Downloads
41
Supported Platforms
macOS-arm64