:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-dce' .. highlight: bash bioconductor-dce ================ .. conda:recipe:: bioconductor-dce :replaces_section_title: :noindex: Pathway Enrichment Based on Differential Causal Effects :homepage: https://bioconductor.org/packages/3.18/bioc/html/dce.html :license: GPL-3 :recipe: /`bioconductor-dce `_/`meta.yaml `_ Compute differential causal effects \(dce\) on \(biological\) networks. Given observational samples from a control experiment and non\-control \(e.g.\, cancer\) for two genes A and B\, we can compute differential causal effects with a \(generalized\) linear regression. If the causal effect of gene A on gene B in the control samples is different from the causal effect in the non\-control samples the dce will differ from zero. We regularize the dce computation by the inclusion of prior network information from pathway databases such as KEGG. .. conda:package:: bioconductor-dce |downloads_bioconductor-dce| |docker_bioconductor-dce| :versions: ``1.10.0-0``,  ``1.7.0-0``,  ``1.6.0-0``,  ``1.2.0-0``,  ``1.0.0-0`` :depends bioconductor-edger: ``>=4.0.0,<4.1.0`` :depends bioconductor-epinem: ``>=1.26.0,<1.27.0`` :depends bioconductor-graph: ``>=1.80.0,<1.81.0`` :depends bioconductor-graphite: ``>=1.48.0,<1.49.0`` :depends bioconductor-mnem: ``>=1.18.0,<1.19.0`` :depends bioconductor-org.hs.eg.db: ``>=3.18.0,<3.19.0`` :depends bioconductor-rgraphviz: ``>=2.46.0,<2.47.0`` :depends r-assertthat: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-dplyr: :depends r-expm: :depends r-ggplot2: :depends r-ggraph: :depends r-glm2: :depends r-glue: :depends r-harmonicmeanp: :depends r-igraph: :depends r-logger: :depends r-magrittr: :depends r-mass: :depends r-matrix: :depends r-metap: :depends r-naturalsort: :depends r-pcalg: :depends r-ppcor: :depends r-purrr: :depends r-reshape2: :depends r-rlang: :depends r-shadowtext: :depends r-tidygraph: :depends r-tidyverse: :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-dce and update with:: mamba update bioconductor-dce To create a new environment, run:: mamba create --name myenvname bioconductor-dce 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-dce: (see `bioconductor-dce/tags`_ for valid values for ````) .. |downloads_bioconductor-dce| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-dce.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-dce :alt: (downloads) .. |docker_bioconductor-dce| image:: https://quay.io/repository/biocontainers/bioconductor-dce/status :target: https://quay.io/repository/biocontainers/bioconductor-dce .. _`bioconductor-dce/tags`: https://quay.io/repository/biocontainers/bioconductor-dce?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-dce/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-dce/README.html