:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-gars' .. highlight: bash bioconductor-gars ================= .. conda:recipe:: bioconductor-gars :replaces_section_title: :noindex: GARS\: Genetic Algorithm for the identification of Robust Subsets of variables in high\-dimensional and challenging datasets :homepage: https://bioconductor.org/packages/3.18/bioc/html/GARS.html :license: GPL (>= 2) :recipe: /`bioconductor-gars `_/`meta.yaml `_ Feature selection aims to identify and remove redundant\, irrelevant and noisy variables from high\-dimensional datasets. Selecting informative features affects the subsequent classification and regression analyses by improving their overall performances. Several methods have been proposed to perform feature selection\: most of them relies on univariate statistics\, correlation\, entropy measurements or the usage of backward\/forward regressions. Herein\, we propose an efficient\, robust and fast method that adopts stochastic optimization approaches for high\-dimensional. GARS is an innovative implementation of a genetic algorithm that selects robust features in high\-dimensional and challenging datasets. .. conda:package:: bioconductor-gars |downloads_bioconductor-gars| |docker_bioconductor-gars| :versions: .. raw:: html
1.22.0-01.20.0-01.18.0-01.14.0-01.12.0-01.10.0-11.10.0-01.6.0-01.4.0-1 ``1.22.0-0``,  ``1.20.0-0``,  ``1.18.0-0``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.0-1``,  ``1.10.0-0``,  ``1.6.0-0``,  ``1.4.0-1``,  ``1.2.0-0`` .. raw:: html
:depends bioconductor-damirseq: ``>=2.14.0,<2.15.0`` :depends bioconductor-mlseq: ``>=2.20.0,<2.21.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-cluster: :depends r-ggplot2: :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-gars and update with:: mamba update bioconductor-gars To create a new environment, run:: mamba create --name myenvname bioconductor-gars 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-gars: (see `bioconductor-gars/tags`_ for valid values for ````) .. |downloads_bioconductor-gars| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-gars.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-gars :alt: (downloads) .. |docker_bioconductor-gars| image:: https://quay.io/repository/biocontainers/bioconductor-gars/status :target: https://quay.io/repository/biocontainers/bioconductor-gars .. _`bioconductor-gars/tags`: https://quay.io/repository/biocontainers/bioconductor-gars?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-gars/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-gars/README.html