To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("MLInterfaces")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
This package provides uniform interfaces to machine learning code for data in R and 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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("MLInterfaces")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MLInterfaces")
R Script | A machine learning tutorial: applications of the Bioconductor MLInterfaces package to expression and ChIP-Seq data | |
R Script | MLInterfaces Computer Cluster | |
R Script | MLInterfaces devel for schema-based MLearn | |
R Script | MLInterfaces Primer | |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, Clustering, Software |
Version | 1.54.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 years) |
License | LGPL |
Depends | R (>= 2.9), methods, BiocGenerics(>= 0.13.11), Biobase, annotate, cluster |
Imports | gdata, pls, sfsmisc, MASS, rpart, rda, genefilter, fpc, ggvis, shiny, gbm, RColorBrewer, hwriter, threejs (>= 0.2.2), mlbench, stats4 |
LinkingTo | |
Suggests | class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL, hgu95av2.db, som, rgl, 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 |
Follow Installation instructions to use this package in your R session.
Package Source | MLInterfaces_1.54.0.tar.gz |
Windows Binary | MLInterfaces_1.54.0.zip |
Mac OS X 10.9 (Mavericks) | MLInterfaces_1.54.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/MLInterfaces/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/MLInterfaces/ |
Package Downloads Report | Download Stats |
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