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

DOI: 10.18129/B9.bioc.fabiaData    

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")

 

PDF R Script fabiaData: Manual for the R Package
PDF   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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