recipe bioconductor-fabia

FABIA: Factor Analysis for Bicluster Acquisition

Homepage

https://bioconductor.org/packages/3.13/bioc/html/fabia.html

License

LGPL (>= 2.1)

Recipe

/bioconductor-fabia/meta.yaml

Links

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

Versions

2.38.0-0,  2.36.0-1,  2.36.0-0,  2.34.0-0,  2.32.0-0,  2.30.0-1,  2.28.0-0,  2.26.0-0,  2.24.0-0

Depends

• bioconductor-biobase >=2.52.0,<2.53.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=9.3.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.1,<4.2.0a0

Required By

• bioconductor-hapfabia

• bioconductor-mirsm

Installation

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 quay.io/biocontainers/bioconductor-fabia:<tag>

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

Download stats

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