MLInterfaces
This is the development version of MLInterfaces; for the stable release version, see MLInterfaces.
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Bioconductor version: Development (3.24)
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("MLInterfaces")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Classification, Clustering, Software |
| Version | 1.93.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 21 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, airway |
| Linking To | |
| Enhances | parallel |
| Depends On Me | pRoloc, SigCheck, 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_1.93.0.tar.gz |
| Windows Binary (x86_64) | MLInterfaces_1.93.0.zip |
| macOS Binary (big-sur-x86_64) | MLInterfaces_1.93.0.tgz |
| macOS Binary (sonoma-arm64) | MLInterfaces_1.93.0.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 |