fabia

DOI: 10.18129/B9.bioc.fabia  

FABIA: Factor Analysis for Bicluster Acquisition

Bioconductor version: Release (3.16)

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>

Citation (from within R, enter citation("fabia")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("fabia")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("fabia")

 

PDF R Script FABIA: Manual for the R package
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, DifferentialExpression, Microarray, MultipleComparison, Software, StatisticalMethod, Visualization
Version 2.44.0
In Bioconductor since BioC 2.7 (R-2.12) (12.5 years)
License LGPL (>= 2.1)
Depends R (>= 3.6.0), Biobase
Imports methods, graphics, grDevices, stats, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.bioinf.jku.at/software/fabia/fabia.html
Depends On Me hapFabia
Imports Me miRSM, mosbi
Suggests Me fabiaData
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package fabia_2.44.0.tar.gz
Windows Binary fabia_2.44.0.zip
macOS Binary (x86_64) fabia_2.44.0.tgz
macOS Binary (arm64) fabia_2.44.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fabia
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fabia
Bioc Package Browser https://code.bioconductor.org/browse/fabia/
Package Short Url https://bioconductor.org/packages/fabia/
Package Downloads Report Download Stats

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