MLInterfaces

DOI: 10.18129/B9.bioc.MLInterfaces    

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

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MLInterfaces")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.76.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 17.5 years)
License	LGPL
Depends	R (>= 3.5), Rcpp, methods, BiocGenerics(>= 0.13.11), Biobase, annotate, cluster
Imports	gdata, pls, sfsmisc, MASS, rpart, genefilter, fpc, ggvis, shiny, gbm, RColorBrewer, hwriter, threejs (>= 0.2.2), mlbench, stats4, tools, grDevices, graphics, stats, magrittr
LinkingTo
Suggests	class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL, hgu95av2.db, som, hu6800.db, lattice, caret (>= 5.07), golubEsets, ada, keggorthology, kernlab, mboost, party, klaR, testthat
SystemRequirements
Enhances	parallel
URL
Depends On Me	pRoloc, proteomics, SigCheck
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	MLInterfaces_1.76.0.tar.gz
Windows Binary	MLInterfaces_1.76.0.zip (64-bit only)
macOS Binary (x86_64)	MLInterfaces_1.76.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MLInterfaces
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MLInterfaces
Package Short Url	https://bioconductor.org/packages/MLInterfaces/
Package Downloads Report	Download Stats