:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-diffcorr' .. highlight: bash r-diffcorr ========== .. conda:recipe:: r-diffcorr :replaces_section_title: :noindex: A method for identifying pattern changes between 2 experimental conditions in correlation networks \(e.g.\, gene co\-expression networks\)\, which builds on a commonly used association measure\, such as Pearson\'s correlation coefficient. This package includes functions to calculate correlation matrices for high\-dimensional dataset and to test differential correlation\, which means the changes in the correlation relationship among variables \(e.g.\, genes and metabolites\) between 2 experimental conditions. :homepage: https://CRAN.R-project.org/package=DiffCorr :license: GPL3 / GPL3 :recipe: /`r-diffcorr `_/`meta.yaml `_ .. conda:package:: r-diffcorr |downloads_r-diffcorr| |docker_r-diffcorr| :versions: .. raw:: html
0.4.3-00.4.2-20.4.2-10.4.2-00.4.1-60.4.1-50.4.1-40.4.1-30.4.1-2 ``0.4.3-0``,  ``0.4.2-2``,  ``0.4.2-1``,  ``0.4.2-0``,  ``0.4.1-6``,  ``0.4.1-5``,  ``0.4.1-4``,  ``0.4.1-3``,  ``0.4.1-2``,  ``0.4.1-1``,  ``0.4.1-0`` .. raw:: html
:depends bioconductor-multtest: :depends bioconductor-pcamethods: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-fdrtool: :depends r-igraph: :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-diffcorr and update with:: mamba update r-diffcorr To create a new environment, run:: mamba create --name myenvname r-diffcorr 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-diffcorr: (see `r-diffcorr/tags`_ for valid values for ````) .. |downloads_r-diffcorr| image:: https://img.shields.io/conda/dn/bioconda/r-diffcorr.svg?style=flat :target: https://anaconda.org/bioconda/r-diffcorr :alt: (downloads) .. |docker_r-diffcorr| image:: https://quay.io/repository/biocontainers/r-diffcorr/status :target: https://quay.io/repository/biocontainers/r-diffcorr .. _`r-diffcorr/tags`: https://quay.io/repository/biocontainers/r-diffcorr?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-diffcorr/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-diffcorr/README.html