MLInterfaces

This is the released version of MLInterfaces; for the devel version, see MLInterfaces.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

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

Bioconductor version: Release (3.23)

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

Author: Vincent Carey [cre, aut] ORCID: 0000-0003-4046-0063 , 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")):

Vincent Carey, Jess Mar. MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers. doi:10.18129/B9.bioc.MLInterfaces, R package version 1.92.0, https://bioconductor.org/packages/MLInterfaces.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")

MLInterfaces Computer Cluster	PDF	R Script
MLInterfaces 2.0 -- a new design	HTML	R Script
A machine learning tutorial tutorial: applications of the Bioconductor MLInterfaces package to gene expression data	HTML	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Classification, Clustering, Software
Version	1.92.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 21.5 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

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, airway
Linking To
Enhances	parallel
Depends On Me	nlcv, pRoloc, SigCheck
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	MLInterfaces_1.92.0.tar.gz
Windows Binary (x86_64)	MLInterfaces_1.92.0.zip
macOS Binary (big-sur-x86_64)	MLInterfaces_1.92.0.tgz
macOS Binary (sonoma-arm64)	MLInterfaces_1.92.0.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