Package: fabia
Title: FABIA: Factor Analysis for Bicluster Acquisition
Version: 1.3.1
Date: 2010-12-28
Author: Sepp Hochreiter <hochreit@bioinf.jku.at>
Maintainer: Sepp Hochreiter <hochreit@bioinf.jku.at>
Depends: R (>= 2.8.0), methods
Imports: methods, graphics
Suggests: 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++ based on Rcpp package.
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
LazyLoad: yes
Packaged: 2011-01-30 11:58:02 UTC; hochreit
Built: R 2.12.1; x86_64-pc-mingw32; 2011-01-31 11:52:10 UTC; windows
Archs: x64
