Package: fabia
Title: FABIA: Factor Analysis for Bicluster Acquisition
Version: 0.1.3
Date: 2009-12-27
Author: Sepp Hochreiter <hochreit@bioinf.jku.at>
Maintainer: Sepp Hochreiter <hochreit@bioinf.jku.at>
Depends: R (>= 2.8.0)
Imports: methods, graphics
Suggests:
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++ based on Rcpp package.
License: LGPL (>= 2.1)
URL: http://www.bioinf.jku.at/software/fabia/fabia.html
biocViews: Bioinformatics, Statistics, Microarray,
        DifferentialExpression, MultipleComparisons, Clustering,
        Visualization
LazyLoad: yes
SystemRequirements: None
Packaged: 2010-04-23 17:18:12 UTC; hochreit
Built: R 2.10.1; i386-pc-mingw32; 2010-04-23 17:18:16 UTC; windows
