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

fabia

FABIA: Factor Analysis for Bicluster Acquisition

Bioconductor version: 2.13

Biclustering by "Factor Analysis for Bicluster Acquisition" (FABIA). FABIA is a model-based technique for biclustering, that is clustering rows and columns simultaneously. Biclusters are found by factor analysis where both the factors and the loading matrix are sparse. FABIA is a multiplicative model that extracts linear dependencies between samples and feature patterns. It captures realistic non-Gaussian data distributions with heavy tails as observed in gene expression measurements. FABIA utilizes well understood model selection techniques like the EM algorithm and variational approaches and is embedded into a Bayesian framework. FABIA ranks biclusters according to their information content and separates spurious biclusters from true biclusters. The code is written in C.

Author: Sepp Hochreiter <hochreit at bioinf.jku.at>

Maintainer: Sepp Hochreiter <hochreit at bioinf.jku.at>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("fabia")

 

PDF	R Script	FABIA: Manual for the R package
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bioinformatics, Clustering, DifferentialExpression, Microarray, MultipleComparisons, Software, Statistics, Visualization
Version	2.8.0
In Bioconductor since	BioC 2.7 (R-2.12)
License	LGPL (>= 2.1)
Depends	R (>= 2.8.0), Biobase
Imports	methods, graphics, grDevices, stats, utils
Suggests
System Requirements
URL	http://www.bioinf.jku.at/software/fabia/fabia.html
Depends On Me	hapFabia
Imports Me
Suggests Me	fabiaData

Package Archives

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Package Source	fabia_2.8.0.tar.gz
Windows Binary	fabia_2.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	fabia_2.8.0.tgz
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