- recipe bioconductor-fabia
FABIA: Factor Analysis for Bicluster Acquisition
- Homepage
- License
LGPL (>= 2.1)
- Recipe
- 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
2.40.0-1
,2.40.0-0
,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
,2.40.0-1
,2.40.0-0
,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
>=2.54.0,<2.55.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.1,<4.2.0a0
- Required By
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¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-fabia/README.html)