Package: fabia
Title: FABIA: Factor Analysis for Bicluster Acquisition
Version: 2.0.0
Date: 2011-09-27
Author: Sepp Hochreiter <hochreit@bioinf.jku.at>
Maintainer: Sepp Hochreiter <hochreit@bioinf.jku.at>
Depends: R (>= 2.8.0)
Imports: methods, graphics, grDevices, stats, utils
LinkingTo:
Description: 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.
License: LGPL (>= 2.1)
Collate: AllClasses.R AllGenerics.R plot-methods.R show-methods.R
        showSelected-methods.R summary-methods.R fabia.R zzz.R
URL: http://www.bioinf.jku.at/software/fabia/fabia.html
biocViews: Bioinformatics, Statistics, Microarray,
        DifferentialExpression, MultipleComparisons, Clustering,
        Visualization
Packaged: 2011-11-01 07:25:54 UTC; biocbuild
Built: R 2.14.0; universal-apple-darwin9.8.0; 2011-11-01 14:50:01 UTC; unix
Archs: i386, ppc, x86_64
