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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("fabiaData")
In most cases, you don't need to download the package archive at all.
fabiaData
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Data sets for FABIA (Factor Analysis for Bicluster Acquisition)
Bioconductor version: Release (3.5)
Supplying gene expression data sets for the demos of the biclustering method "Factor Analysis for Bicluster Acquisition" (FABIA). The following three data sets are provided: A) breast cancer (van't Veer, Nature, 2002), B) multiple tissues (Su, PNAS, 2002), and C) diffuse large-B-cell lymphoma (Rosenwald, N Engl J Med, 2002).
Author: Sepp Hochreiter <hochreit at bioinf.jku.at>
Maintainer: Sepp Hochreiter <hochreit at bioinf.jku.at>
Citation (from within R,
enter citation("fabiaData")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("fabiaData")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fabiaData")
| R Script | fabiaData: Manual for the R Package | |
| Reference Manual |
Details
| biocViews | BreastCancerData, CancerData, ExperimentData, MicroarrayData |
| Version | 1.14.0 |
| License | LGPL (>= 2.1) |
| Depends | R (>= 2.10.0), Biobase |
| Imports | utils |
| LinkingTo | |
| Suggests | fabia |
| SystemRequirements | |
| Enhances | |
| URL | http://www.bioinf.jku.at/software/fabia/fabia.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | fabiaData_1.14.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.11 (El Capitan) | |
| Source Repository | git clone https://git.bioconductor.org/packages/fabiaData |
| Package Short Url | http://bioconductor.org/packages/fabiaData/ |
| Package Downloads Report | Download Stats |
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