fabia

FABIA: Factor Analysis for Bicluster Acquisition

Bioconductor version: 2.7

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.

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

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

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("fabia")

Documentation

Details

Package Downloads