MLInterfaces

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

Bioconductor version: 2.10

Uniform interfaces to machine learning code for data in Bioconductor containers

Author: Vince Carey <stvjc at channing.harvard.edu>, Robert Gentleman, Jess Mar, and contributions from Jason Vertrees <jv at cs.dartmouth.edu> and Laurent Gatto <lg390 at cam.ac.uk>

Maintainer: V. Carey <stvjc at channing.harvard.edu>

To install this package, start R and enter:

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

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

    citation("MLInterfaces")

Documentation

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

Details

biocViews	Bioinformatics, Classification, Clustering, Software
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
URL
Depends On Me	a4Classif
Imports Me
Suggests Me	BiocCaseStudies
Version	1.36.1
Since	Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source	MLInterfaces_1.36.1.tar.gz
Windows Binary	MLInterfaces_1.36.1.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	MLInterfaces_1.36.1.tgz
Package Downloads Report	Download Stats

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