This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see MLInterfaces.
Bioconductor version: 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>
Citation (from within R,
enter citation("MLInterfaces")
):
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.
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 | 1.76.0 |
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 |
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 |
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