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

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

bioconductor-timeomics
======================

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

   Time\-Course Multi\-Omics data integration

   :homepage: https://bioconductor.org/packages/3.18/bioc/html/timeOmics.html
   :license: GPL-3
   :recipe: /`bioconductor-timeomics <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-timeomics>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-timeomics/meta.yaml>`_

   timeOmics is a generic data\-driven framework to integrate multi\-Omics longitudinal data measured on the same biological samples and select key temporal features with strong associations within the same sample group. The main steps of timeOmics are\: 1. Plaform and time\-specific normalization and filtering steps\; 2. Modelling each biological into one time expression profile\; 3. Clustering features with the same expression profile over time\; 4. Post\-hoc validation step.


.. conda:package:: bioconductor-timeomics

   |downloads_bioconductor-timeomics| |docker_bioconductor-timeomics|

   :versions:
      
      

      ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.0-0``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-1``,  ``1.2.0-0``,  ``1.0.0-0``

      

   
   :depends bioconductor-mixomics: ``>=6.26.0,<6.27.0``
   :depends r-base: ``>=4.3,<4.4.0a0``
   :depends r-dplyr: 
   :depends r-ggplot2: 
   :depends r-ggrepel: 
   :depends r-lmtest: 
   :depends r-magrittr: 
   :depends r-plyr: 
   :depends r-purrr: 
   :depends r-stringr: 
   :depends r-tibble: 
   :depends r-tidyr: 
   :requirements:

   .. rubric:: Installation

  You need a conda-compatible package manager
  (currently either `micromamba <https://mamba.readthedocs.io>`_, `mamba <https://mamba.readthedocs.io>`_, or `conda <https://docs.conda.io/projects/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 <https://mamba.readthedocs.io>`_ 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-timeomics

   and update with::

      mamba update bioconductor-timeomics

  To create a new environment, run::

      mamba create --name myenvname bioconductor-timeomics

  with ``myenvname`` being a reasonable name for the environment
  (see e.g. the `mamba docs <https://mamba.readthedocs.io>`_ for details and further options).

  Alternatively, use the docker container::

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

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


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


.. raw:: html

    <script>
        var package = "bioconductor-timeomics";
        var versions = ["1.14.0","1.12.0","1.10.0","1.6.0","1.4.0"];
    </script>






Download stats
-----------------

.. raw:: html
    :file: ../../templates/package_dashboard.html

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