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

Bioconductor version: 2.9

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> and Laurent Gatto <lg390 at>

Maintainer: V. Carey <stvjc at>

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PDF R Script A machine learning tutorial: applications of the Bioconductor MLInterfaces package to expression and ChIP-Seq data
PDF R Script MLInterfaces Computer Cluster
PDF R Script MLInterfaces devel for schema-based MLearn
PDF R Script MLInterfaces Primer
PDF   Reference Manual


biocViews Bioinformatics, Classification, Clustering
Depends R (>= 2.9), Biobase, MASS, methods, genefilter, rpart, rda, annotate, cluster, sfsmisc
Imports mboost, gdata
Suggests class, e1071, ipred, randomForest, gpls, pamr, rpart, MASS, nnet, ALL, gbm, mlbench, hgu95av2.db, som, RColorBrewer, hu6800.db, lattice, caret (>= 5.07), golubEsets, ada, keggorthology, kernlab, gbm, mboost, sfsmisc, party
System Requirements
License LGPL
Depends On Me a4Classif
Imports Me
Suggests Me BiocCaseStudies
Version 1.34.2
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source MLInterfaces_1.34.2.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) binary MLInterfaces_1.34.2.tgz
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