MLInterfaces

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

Bioconductor version: 2.6

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>

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")

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
PDF		Reference Manual

biocViews	Bioinformatics, Classification, Clustering
Depends	R (>= 2.9), 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, gbm, mboost, sfsmisc, party
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
Suggests Me	BiocCaseStudies
Version	1.28.0
Since	Bioconductor 1.6 (R-2.1) or earlier

Common Bioconductor workflows include:

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