MLInterfaces
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Bioconductor version: 3.23 · Package version: 1.92.0
This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MLInterfaces")Details
| Maintainer | Vincent Carey <stvjc@channing.harvard.edu> |
| Author | Vincent Carey [cre, aut] (ORCID: <https://orcid.org/0000-0003-4046-0063>), Jess Mar [aut], Jason Vertrees [ctb], Laurent Gatto [ctb], Phylis Atieno [ctb] (Translated vignettes from Sweave to Rmarkdown / HTML.) |
| License | LGPL |
| Downloads rank | 959 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, Clustering, Software |
Documentation
- A machine learning tutorial tutorial: applications of the Bioconductor MLInterfaces package to gene expression data
- MLInterfaces 2.0 -- a new design
- MLInterfaces Computer Cluster
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Dependencies
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
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
Enhances: parallel