MLInterfaces

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

Bioconductor version: Release (2.7)

Uniform interfaces to machine learning code for data in Bioconductor containers

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

Maintainer: V. Carey

To install this package, start R and enter:

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

Documentation

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

Reference Manual

Details

biocViews	Bioinformatics, Classification, Clustering
Depends	R, 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, mboost, sfsmisc, party
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
Suggests Me	BiocCaseStudies
Version	1.30.0

Package Downloads

Package Source	MLInterfaces_1.30.0.tar.gz
Windows Binary	MLInterfaces_1.30.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	MLInterfaces_1.30.0.tgz
Package Downloads Report	Download Stats