DOI: 10.18129/B9.bioc.MLInterfaces  

Uniform interfaces to R machine learning procedures for data in Bioconductor containers

Bioconductor version: Release (3.18)

This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.

Author: Vincent Carey [cre, aut] , Jess Mar [aut], Jason Vertrees [ctb], Laurent Gatto [ctb], Phylis Atieno [ctb] (Translated vignettes from Sweave to Rmarkdown / HTML.)

Maintainer: Vincent Carey <stvjc at>

Citation (from within R, enter citation("MLInterfaces")):


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if (!require("BiocManager", quietly = TRUE))


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HTML R Script A machine learning tutorial tutorial: applications of the Bioconductor MLInterfaces package to gene expression data
HTML R Script MLInterfaces 2.0 -- a new design
PDF R Script MLInterfaces Computer Cluster
PDF   Reference Manual
Text   NEWS


biocViews Classification, Clustering, Software
Version 1.82.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 18.5 years)
License LGPL
Depends R (>= 3.5), Rcpp, methods, BiocGenerics(>= 0.13.11), Biobase, annotate, cluster
Imports gdata, pls, sfsmisc, MASS, rpart, genefilter, fpc, ggvis, shiny, gbm, RColorBrewer, hwriter, threejs (>= 0.2.2), mlbench, stats4, tools, grDevices, graphics, stats, magrittr, SummarizedExperiment
Suggests class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL, hgu95av2.db, som, hu6800.db, lattice, caret (>= 5.07), golubEsets, ada, keggorthology, kernlab, mboost, party, klaR, BiocStyle, knitr, testthat
Enhances parallel
Depends On Me pRoloc, SigCheck
Imports Me
Suggests Me
Links To Me
Build Report  

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Source Package MLInterfaces_1.82.0.tar.gz
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macOS Binary (x86_64) MLInterfaces_1.82.0.tgz
macOS Binary (arm64) MLInterfaces_1.82.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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