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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("MLInterfaces")
In most cases, you don't need to download the package archive at all.
MLInterfaces
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Bioconductor version: 2.14
Uniform interfaces to machine learning code for data in 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")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("MLInterfaces")
Documentation
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 |
Details
| biocViews | Classification, Clustering, Software |
| Version | 1.44.1 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | LGPL |
| Depends | R (>= 2.9), Biobase, MASS, methods, genefilter, rpart, rda, annotate, cluster, sfsmisc |
| Imports | mboost, gdata, pls |
| Suggests | class, e1071, ipred, randomForest, gpls, pamr, rpart, MASS, nnet, ALL, gbm, mlbench, hgu95av2.db, som, RColorBrewer, hu6800.db, lattice, caret (>= 5.07), golubEsets, ada, keggorthology, kernlab, gbm, mboost, sfsmisc, party |
| System Requirements | |
| URL | |
| Depends On Me | a4Classif, pRoloc |
| Imports Me | |
| Suggests Me | BiocCaseStudies |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | MLInterfaces_1.44.1.tar.gz |
| Windows Binary | MLInterfaces_1.44.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | MLInterfaces_1.44.1.tgz |
| Mac OS X 10.9 (Mavericks) | MLInterfaces_1.44.1.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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