To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("MLInterfaces")

In most cases, you don't need to download the package archive at all.

MLInterfaces

 

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

Bioconductor version: Release (3.1)

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>

Citation (from within R, enter citation("MLInterfaces")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("MLInterfaces")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("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
Text   NEWS

Details

biocViews Classification, Clustering, Software
Version 1.48.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 10.5 years)
License LGPL
Depends R (>= 2.9), methods, BiocGenerics(>= 0.13.11), Biobase, annotate, cluster
Imports gdata, pls, sfsmisc, MASS, rpart, rda, genefilter
LinkingTo
Suggests class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL, gbm, mlbench, hgu95av2.db, som, RColorBrewer, hu6800.db, lattice, caret (>= 5.07), golubEsets, ada, keggorthology, kernlab, mboost, party
SystemRequirements
Enhances parallel
URL
Depends On Me a4Classif, pRoloc, SigCheck
Imports Me
Suggests Me BiocCaseStudies
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source MLInterfaces_1.48.0.tar.gz
Windows Binary MLInterfaces_1.48.0.zip
Mac OS X 10.6 (Snow Leopard) MLInterfaces_1.48.0.tgz
Mac OS X 10.9 (Mavericks) MLInterfaces_1.48.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/MLInterfaces/tree/release-3.1
Package Short Url http://bioconductor.org/packages/MLInterfaces/
Package Downloads Report Download Stats

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