To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("fabiaData")

In most cases, you don't need to download the package archive at all.

fabiaData

Data sets for FABIA (Factor Analysis for Bicluster Acquisition)

Bioconductor version: Release (2.14)

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:

source("http://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")

 

PDF R Script fabiaData: Manual for the R Package
PDF   Reference Manual

Details

biocViews Bioinformatics, Clustering, DifferentialExpression, ExperimentData, Microarray, MultipleComparisons, Statistics, Visualization
Version 1.2.0
License LGPL (>= 2.1)
Depends R (>= 2.10.0), Biobase
Imports utils
Suggests fabia
System Requirements
URL http://www.bioinf.jku.at/software/fabia/fabia.html
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source fabiaData_1.2.0.tar.gz
Windows Binary fabiaData_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) fabiaData_1.2.0.tgz
Mac OS X 10.9 (Mavericks) fabiaData_1.2.0.tgz
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