:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-fabia' .. highlight: bash bioconductor-fabia ================== .. conda:recipe:: bioconductor-fabia :replaces_section_title: :noindex: FABIA\: Factor Analysis for Bicluster Acquisition :homepage: https://bioconductor.org/packages/3.18/bioc/html/fabia.html :license: LGPL (>= 2.1) :recipe: /`bioconductor-fabia `_/`meta.yaml `_ :links: biotools: :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. .. conda:package:: bioconductor-fabia |downloads_bioconductor-fabia| |docker_bioconductor-fabia| :versions: .. raw:: html
2.48.0-02.46.0-02.44.0-12.44.0-02.40.0-22.40.0-12.40.0-02.38.0-02.36.0-1 ``2.48.0-0``,  ``2.46.0-0``,  ``2.44.0-1``,  ``2.44.0-0``,  ``2.40.0-2``,  ``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`` .. raw:: html
:depends bioconductor-biobase: ``>=2.62.0,<2.63.0`` :depends bioconductor-biobase: ``>=2.62.0,<2.63.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends r-base: ``>=4.3,<4.4.0a0`` :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install bioconductor-fabia and update with:: mamba update bioconductor-fabia To create a new environment, run:: mamba create --name myenvname bioconductor-fabia with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/bioconductor-fabia: (see `bioconductor-fabia/tags`_ for valid values for ````) .. |downloads_bioconductor-fabia| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-fabia.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-fabia :alt: (downloads) .. |docker_bioconductor-fabia| image:: https://quay.io/repository/biocontainers/bioconductor-fabia/status :target: https://quay.io/repository/biocontainers/bioconductor-fabia .. _`bioconductor-fabia/tags`: https://quay.io/repository/biocontainers/bioconductor-fabia?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| badge with the following MarkDown:: [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-fabia/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/bioconductor-fabia/README.html