MLInterfaces

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


Bioconductor version: Release (3.20)

This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.

Author: Vincent Carey [cre, aut] , Jess Mar [aut], Jason Vertrees [ctb], Laurent Gatto [ctb], Phylis Atieno [ctb] (Translated vignettes from Sweave to Rmarkdown / HTML.)

Maintainer: Vincent Carey <stvjc at channing.harvard.edu>

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

Installation

To install this package, start R (version "4.4") 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")
A machine learning tutorial tutorial: applications of the Bioconductor MLInterfaces package to gene expression data HTML R Script
MLInterfaces 2.0 -- a new design HTML R Script
MLInterfaces Computer Cluster PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, Clustering, Software
Version 1.86.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19.5 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, SummarizedExperiment
System Requirements
URL
See More
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, BiocStyle, knitr, testthat
Linking To
Enhances parallel
Depends On Me SigCheck, pRoloc, dGAselID, nlcv
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package MLInterfaces_1.86.0.tar.gz
Windows Binary (x86_64) MLInterfaces_1.86.0.zip
macOS Binary (x86_64) MLInterfaces_1.86.0.tgz
macOS Binary (arm64) MLInterfaces_1.86.0.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