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bioc
DirichletMultinomial:Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.
Maintained by Martin Morgan. Last updated 5 months ago.
immunooncologymicrobiomesequencingclusteringclassificationmetagenomicsgsl
10 stars 10.91 score 125 scripts 26 dependents
jenniniku
gllvm:Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Maintained by Jenni Niku. Last updated 2 days ago.
52 stars 10.56 score 176 scripts 1 dependents
rueda-lab
iC10:A Copy Number and Expression-Based Classifier for Breast Tumours
Implementation of the classifier described in the paper Ali HR et al (2014) <doi:10.1186/s13059-014-0431-1>. It uses copy number and/or expression form breast cancer data, trains a Tibshirani's 'pamr' classifier with the features available and predicts the iC10 group.
Maintained by Oscar M Rueda. Last updated 8 months ago.
2.94 score 12 scripts 4 dependents