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.
Bioconductor version: 2.13
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:
source("http://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 | Bioinformatics, Clustering, DifferentialExpression, ExperimentData, Microarray, MultipleComparisons, Statistics, Visualization |
Version | 1.0.3 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | fabiaData_1.0.3.tar.gz |
Windows Binary | fabiaData_1.0.3.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | fabiaData_1.0.3.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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