recipe bioconductor-fabia

FABIA: Factor Analysis for Bicluster Acquisition



LGPL (>= 2.1)




biotools: fabia

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.

package bioconductor-fabia

(downloads) docker_bioconductor-fabia



Required By


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-fabia

and update with:

conda update bioconductor-fabia

or use the docker container:

docker pull<tag>

(see bioconductor-fabia/tags for valid values for <tag>)