MLInterfaces

DOI: 10.18129/B9.bioc.MLInterfaces  

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

Bioconductor version: Release (3.16)

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	1.78.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 18 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, SummarizedExperiment
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, 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_1.78.0.tar.gz
Windows Binary	MLInterfaces_1.78.0.zip
macOS Binary (x86_64)	MLInterfaces_1.78.0.tgz
macOS Binary (arm64)	MLInterfaces_1.78.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MLInterfaces
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MLInterfaces
Bioc Package Browser	https://code.bioconductor.org/browse/MLInterfaces/
Package Short Url	https://bioconductor.org/packages/MLInterfaces/
Package Downloads Report	Download Stats