Bioconductor-mirror/fabia: FABIA: Factor Analysis for Bicluster Acquisition

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.

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Package details

AuthorSepp Hochreiter <[email protected]>
Bioconductor views Clustering DifferentialExpression Microarray MultipleComparison StatisticalMethod Visualization
MaintainerSepp Hochreiter <[email protected]>
LicenseLGPL (>= 2.1)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/fabia documentation built on June 1, 2017, 8:35 a.m.