:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-wgcna' .. highlight: bash r-wgcna ======= .. conda:recipe:: r-wgcna :replaces_section_title: :noindex: Functions necessary to perform Weighted Correlation Network Analysis on high\-dimensional data as originally described in Horvath and Zhang \(2005\) \ and Langfelder and Horvath \(2008\) \. Includes functions for rudimentary data cleaning\, construction of correlation networks\, module identification\, summarization\, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization. :homepage: http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/ :license: GPL3 / GPL (>= 2) :recipe: /`r-wgcna `_/`meta.yaml `_ :links: biotools: :biotools:`wgcna`, doi: :doi:`10.1186/1471-2105-9-559` .. conda:package:: r-wgcna |downloads_r-wgcna| |docker_r-wgcna| :versions: .. raw:: html
1.71-41.71-31.71-21.71-01.69-51.69-41.69-31.69-21.69-1 ``1.71-4``,  ``1.71-3``,  ``1.71-2``,  ``1.71-0``,  ``1.69-5``,  ``1.69-4``,  ``1.69-3``,  ``1.69-2``,  ``1.69-1``,  ``1.69-0``,  ``1.68-1``,  ``1.68-0``,  ``1.67-0``,  ``1.66-1``,  ``1.66-0``,  ``1.64_1-0``,  ``1.61-0``,  ``1.51-1``,  ``1.51-0`` .. raw:: html
:depends bioconductor-annotationdbi: :depends bioconductor-go.db: :depends bioconductor-impute: :depends bioconductor-preprocesscore: :depends libgcc-ng: ``>=12`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-doparallel: :depends r-dynamictreecut: ``>=1.62`` :depends r-fastcluster: :depends r-foreach: :depends r-hmisc: :depends r-matrixstats: ``>=0.8.1`` :depends r-rcpp: ``>=0.11.0`` :depends r-robust: :depends r-survival: :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 r-wgcna and update with:: mamba update r-wgcna To create a new environment, run:: mamba create --name myenvname r-wgcna 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/r-wgcna: (see `r-wgcna/tags`_ for valid values for ````) .. |downloads_r-wgcna| image:: https://img.shields.io/conda/dn/bioconda/r-wgcna.svg?style=flat :target: https://anaconda.org/bioconda/r-wgcna :alt: (downloads) .. |docker_r-wgcna| image:: https://quay.io/repository/biocontainers/r-wgcna/status :target: https://quay.io/repository/biocontainers/r-wgcna .. _`r-wgcna/tags`: https://quay.io/repository/biocontainers/r-wgcna?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/r-wgcna/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/r-wgcna/README.html