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

Bioconductor version: Release (2.11)

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
Text   NEWS


biocViews Bioinformatics, Classification, Clustering, Software
Version 1.38.1
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License LGPL
Depends R (>= 2.9), Biobase, MASS, methods, genefilter, rpart, rda, annotate, cluster, sfsmisc
Imports mboost, gdata, pls
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
Depends On Me a4Classif
Imports Me
Suggests Me BiocCaseStudies

Package Downloads

Package Source MLInterfaces_1.38.1.tar.gz
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MacOS 10.5 (Leopard) MLInterfaces_1.38.1.tgz
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