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

Bioconductor version: 2.8

Uniform interfaces to machine learning code for data in Bioconductor containers

Author: Vince Carey <stvjc at>, Robert Gentleman, Jess Mar, and contributions from Jason Vertrees <jv at>

Maintainer: V. Carey <stvjc at>

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To cite this package in a publication, start R and enter:



PDF R Script MLInterfaces Computer Cluster
PDF R Script MLInterfaces devel for schema-based MLearn
PDF R Script MLInterfaces Exercises, post Bioc 2.1
PDF R Script MLInterfaces Primer
PDF   Reference Manual


biocViews Bioinformatics, Classification, Clustering
Depends R (>= 2.9), Biobase, MASS, methods, genefilter, rpart, rda, annotate, cluster
Imports mboost
Suggests class, e1071, ipred, randomForest, gpls, pamr, rpart, MASS, nnet, ALL, gbm, mlbench, hgu95av2.db, som, RColorBrewer, hu6800.db, golubEsets, ada, keggorthology, kernlab, gbm, mboost, sfsmisc, party
System Requirements
License LGPL
Depends On Me a4Classif
Imports Me
Suggests Me BiocCaseStudies
Version 1.32.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source MLInterfaces_1.32.0.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) binary MLInterfaces_1.32.0.tgz
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