fabiaData
Data sets for FABIA (Factor Analysis for Bicluster Acquisition)
Bioconductor version: Release (3.19)
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("fabiaData")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | R Script | |
Reference Manual |
Details
biocViews | BreastCancerData, CancerData, ExperimentData, MicroarrayData |
Version | 1.42.0 |
License | LGPL (>= 2.1) |
Depends | R (>= 2.10.0), Biobase |
Imports | utils |
System Requirements | |
URL | http://www.bioinf.jku.at/software/fabia/fabia.html |
See More
Suggests | fabia |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | fabiaData_1.42.0.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 |