:orphan:  .. only available via index, not via toctree

.. title:: Package Recipe 'bioconductor-decoupler'
.. highlight: bash

bioconductor-decoupler
======================

.. conda:recipe:: bioconductor-decoupler
   :replaces_section_title:
   :noindex:

   decoupleR\: Ensemble of computational methods to infer biological activities from omics data

   :homepage: https://bioconductor.org/packages/3.20/bioc/html/decoupleR.html
   :license: GPL-3 + file LICENSE
   :recipe: /`bioconductor-decoupler <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-decoupler>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-decoupler/meta.yaml>`_

   Many methods allow us to extract biological activities from omics data using information from prior knowledge resources\, reducing the dimensionality for increased statistical power and better interpretability. Here\, we present decoupleR\, a Bioconductor package containing different statistical methods to extract these signatures within a unified framework. decoupleR allows the user to flexibly test any method with any resource. It incorporates methods that take into account the sign and weight of network interactions. decoupleR can be used with any omic\, as long as its features can be linked to a biological process based on prior knowledge. For example\, in transcriptomics gene sets regulated by a transcription factor\, or in phospho\-proteomics phosphosites that are targeted by a kinase.


.. conda:package:: bioconductor-decoupler

   |downloads_bioconductor-decoupler| |docker_bioconductor-decoupler|

   :versions:
      
      

      ``2.16.0-0``,  ``2.12.0-0``,  ``2.8.0-0``,  ``2.6.0-0``,  ``2.4.0-0``,  ``2.0.0-0``,  ``1.0.0-0``

      

   
   :depends on bioconductor-biocparallel: ``>=1.44.0,<1.45.0``
   :depends on r-base: ``>=4.5,<4.6.0a0``
   :depends on r-broom: 
   :depends on r-dplyr: 
   :depends on r-magrittr: 
   :depends on r-matrix: 
   :depends on r-parallelly: 
   :depends on r-purrr: 
   :depends on r-rlang: 
   :depends on r-stringr: 
   :depends on r-tibble: 
   :depends on r-tidyr: 
   :depends on r-tidyselect: 
   :depends on r-withr: 

   :additional platforms:
      

Installation
------------

You need a conda-compatible package manager
(currently either `pixi <https://pixi.sh>`__, `conda <https://docs.conda.io/projects/conda>`__, or `micromamba <https://mamba.readthedocs.io>`__)
and the Bioconda channel already activated (see :ref:`bioconda_setup`).
Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi
""""

With pixi_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`),
to install globally, run::

    pixi global install bioconductor-decoupler

to add into an existing workspace instead, run::

    pixi add bioconductor-decoupler

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace::

    pixi workspace channel add conda-forge
    pixi workspace channel add bioconda

Conda
"""""

With conda_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install into an existing and activated environment, run::

    conda install bioconductor-decoupler

Alternatively, to install into a new environment, run::

    conda create -n envname bioconductor-decoupler

with ``envname`` being the name of the desired environment.

Container
"""""""""

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime.
For e.g. docker, run::

    docker pull quay.io/biocontainers/bioconductor-decoupler:<tag>

(see `bioconductor-decoupler/tags`_ for valid values for ``<tag>``).

Integrated deployment
"""""""""""""""""""""

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment.
Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency.
Check the documentation of your workflow management system to find out about the integration.

.. _conda: https://conda.io
.. _pixi: https://pixi.sh
.. |downloads_bioconductor-decoupler| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-decoupler.svg?style=flat
   :target: https://anaconda.org/bioconda/bioconductor-decoupler
   :alt:   (downloads)
.. |docker_bioconductor-decoupler| image:: https://quay.io/repository/biocontainers/bioconductor-decoupler/status
   :target: https://quay.io/repository/biocontainers/bioconductor-decoupler
.. _`bioconductor-decoupler/tags`: https://quay.io/repository/biocontainers/bioconductor-decoupler?tab=tags


.. raw:: html

    <script>
        var package = "bioconductor-decoupler";
        var versions = ["2.16.0","2.12.0","2.8.0","2.6.0","2.4.0"];
    </script>






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-decoupler/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-decoupler/README.html