DOI: 10.18129/B9.bioc.fabia  

This is the development version of fabia; for the stable release version, see fabia.

FABIA: Factor Analysis for Bicluster Acquisition

Bioconductor version: Development (3.18)

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.

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

Maintainer: Andreas Mitterecker <mitterecker at bioinf.jku.at>

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PDF R Script FABIA: Manual for the R package
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biocViews Clustering, DifferentialExpression, Microarray, MultipleComparison, Software, StatisticalMethod, Visualization
Version 2.47.0
In Bioconductor since BioC 2.7 (R-2.12) (13 years)
License LGPL (>= 2.1)
Depends R (>= 3.6.0), Biobase
Imports methods, graphics, grDevices, stats, utils
URL http://www.bioinf.jku.at/software/fabia/fabia.html
Depends On Me hapFabia
Imports Me miRSM, mosbi
Suggests Me fabiaData
Links To Me
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