fabia : FABIA: Factor Analysis for Bicluster Acquisition

Package: fabia
Title: FABIA: Factor Analysis for Bicluster Acquisition
Version: 2.18.0
Date: 2014-06-20
Author: Sepp Hochreiter <hochreit@bioinf.jku.at>
Maintainer: Sepp Hochreiter <hochreit@bioinf.jku.at>
Depends: R (>= 2.8.0), Biobase
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 fabia.R
methods-Factorization-class.R zzz.R
URL: http://www.bioinf.jku.at/software/fabia/fabia.html
Packaged: 2016-05-04 03:38:50 UTC; biocbuild
biocViews: StatisticalMethod, Microarray, DifferentialExpression,
MultipleComparison, Clustering, Visualization
NeedsCompilation: yes