MLInterfaces

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

Bioconductor version: Release (2.9)

Uniform interfaces to machine learning code for data in Bioconductor containers

Author: Vince Carey, Robert Gentleman, Jess Mar, and contributions from Jason Vertrees and Laurent Gatto

Maintainer: V. Carey

To install this package, start R and enter:

    source("http:///biocLite.R")
    biocLite("MLInterfaces")

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

    citation("MLInterfaces")

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, 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, golubEsets, ada, keggorthology, kernlab, mboost, sfsmisc, party
System Requirements
License	LGPL
URL
Depends On Me	a4Classif
Imports Me
Suggests Me	BiocCaseStudies
Version	1.34.2
Since	Bioconductor 1.6 (R-2.1) or earlier

Common Bioconductor workflows include:

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