:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-diffustats' .. highlight: bash bioconductor-diffustats ======================= .. conda:recipe:: bioconductor-diffustats :replaces_section_title: :noindex: Diffusion scores on biological networks :homepage: https://bioconductor.org/packages/3.18/bioc/html/diffuStats.html :license: GPL-3 :recipe: /`bioconductor-diffustats `_/`meta.yaml `_ :links: biotools: :biotools:`diffuStats`, doi: :doi:`10.1093/bioinformatics/btx632` Label propagation approaches are a widely used procedure in computational biology for giving context to molecular entities using network data. Node labels\, which can derive from gene expression\, genome\-wide association studies\, protein domains or metabolomics profiling\, are propagated to their neighbours in the network\, effectively smoothing the scores through prior annotated knowledge and prioritising novel candidates. The R package diffuStats contains a collection of diffusion kernels and scoring approaches that facilitates their computation\, characterisation and benchmarking. .. conda:package:: bioconductor-diffustats |downloads_bioconductor-diffustats| |docker_bioconductor-diffustats| :versions: .. raw:: html
1.22.0-01.20.0-01.18.0-21.18.0-11.18.0-01.14.0-21.14.0-11.14.0-01.12.0-0 ``1.22.0-0``,  ``1.20.0-0``,  ``1.18.0-2``,  ``1.18.0-1``,  ``1.18.0-0``,  ``1.14.0-2``,  ``1.14.0-1``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.2-0``,  ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-1``,  ``1.4.0-0``,  ``1.2.0-0``,  ``0.104.0-0``,  ``0.102.0-0`` .. raw:: html
:depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-checkmate: :depends r-expm: :depends r-igraph: :depends r-mass: :depends r-matrix: :depends r-plyr: :depends r-precrec: :depends r-rcpp: :depends r-rcpparmadillo: :depends r-rcppparallel: :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-diffustats and update with:: mamba update bioconductor-diffustats To create a new environment, run:: mamba create --name myenvname bioconductor-diffustats 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-diffustats: (see `bioconductor-diffustats/tags`_ for valid values for ````) .. |downloads_bioconductor-diffustats| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-diffustats.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-diffustats :alt: (downloads) .. |docker_bioconductor-diffustats| image:: https://quay.io/repository/biocontainers/bioconductor-diffustats/status :target: https://quay.io/repository/biocontainers/bioconductor-diffustats .. _`bioconductor-diffustats/tags`: https://quay.io/repository/biocontainers/bioconductor-diffustats?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-diffustats/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-diffustats/README.html