This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

fabiaData

This is the development version of fabiaData; for the stable release version, see fabiaData.

Data sets for FABIA (Factor Analysis for Bicluster Acquisition)

Bioconductor version: Development (3.18)

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 (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("fabiaData")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("fabiaData")
fabiaData: Manual for the R Package PDF R Script
Reference Manual PDF

Details

biocViews BreastCancerData, CancerData, ExperimentData, MicroarrayData
Version 1.39.0
License LGPL (>= 2.1)
Depends R (>= 2.10.0), Biobase
Imports utils
Linking To
Suggests fabia
System Requirements
Enhances
URL http://www.bioinf.jku.at/software/fabia/fabia.html
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package fabiaData_1.39.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/fabiaData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fabiaData
Package Short Url https://bioconductor.org/packages/fabiaData/
Package Downloads Report Download Stats