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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("fabiaData")
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 |
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 |
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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