fabia
FABIA: Factor Analysis for Bicluster Acquisition
Bioconductor version: Release (3.20)
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("fabia")):
Installation
To install this package, start R (version "4.4") 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")| FABIA: Manual for the R package | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Clustering, DifferentialExpression, Microarray, MultipleComparison, Software, StatisticalMethod, Visualization |
| Version | 2.52.0 |
| In Bioconductor since | BioC 2.7 (R-2.12) (14 years) |
| License | LGPL (>= 2.1) |
| Depends | R (>= 3.6.0), Biobase |
| Imports | methods, graphics, grDevices, stats, utils |
| System Requirements | |
| URL | http://www.bioinf.jku.at/software/fabia/fabia.html |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | hapFabia, RcmdrPlugin.BiclustGUI, superbiclust |
| Imports Me | miRSM, mosbi, BcDiag |
| Suggests Me | fabiaData |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | fabia_2.52.0.tar.gz |
| Windows Binary (x86_64) | fabia_2.52.0.zip |
| macOS Binary (x86_64) | fabia_2.52.0.tgz |
| macOS Binary (arm64) | fabia_2.52.0.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 |