:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-sgcp' .. highlight: bash bioconductor-sgcp ================= .. conda:recipe:: bioconductor-sgcp :replaces_section_title: :noindex: SGCP\: A semi\-supervised pipeline for gene clustering using self\-training approach in gene co\-expression networks :homepage: https://bioconductor.org/packages/3.18/bioc/html/SGCP.html :license: GPL-3 :recipe: /`bioconductor-sgcp `_/`meta.yaml `_ SGC is a semi\-supervised pipeline for gene clustering in gene co\-expression networks. SGC consists of multiple novel steps that enable the computation of highly enriched modules in an unsupervised manner. But unlike all existing frameworks\, it further incorporates a novel step that leverages Gene Ontology information in a semi\-supervised clustering method that further improves the quality of the computed modules. .. conda:package:: bioconductor-sgcp |downloads_bioconductor-sgcp| |docker_bioconductor-sgcp| :versions: ``1.2.0-0``,  ``1.0.0-0`` :depends bioconductor-annotate: ``>=1.80.0,<1.81.0`` :depends bioconductor-genefilter: ``>=1.84.0,<1.85.0`` :depends bioconductor-go.db: ``>=3.18.0,<3.19.0`` :depends bioconductor-gostats: ``>=2.68.0,<2.69.0`` :depends bioconductor-graph: ``>=1.80.0,<1.81.0`` :depends bioconductor-org.hs.eg.db: ``>=3.18.0,<3.19.0`` :depends bioconductor-rgraphviz: ``>=2.46.0,<2.47.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-caret: :depends r-desctools: :depends r-dplyr: :depends r-expm: :depends r-ggplot2: :depends r-ggridges: :depends r-openxlsx: :depends r-plyr: :depends r-rcolorbrewer: :depends r-reshape2: :depends r-rspectra: :depends r-xtable: :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-sgcp and update with:: mamba update bioconductor-sgcp To create a new environment, run:: mamba create --name myenvname bioconductor-sgcp 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-sgcp: (see `bioconductor-sgcp/tags`_ for valid values for ````) .. |downloads_bioconductor-sgcp| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-sgcp.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-sgcp :alt: (downloads) .. |docker_bioconductor-sgcp| image:: https://quay.io/repository/biocontainers/bioconductor-sgcp/status :target: https://quay.io/repository/biocontainers/bioconductor-sgcp .. _`bioconductor-sgcp/tags`: https://quay.io/repository/biocontainers/bioconductor-sgcp?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-sgcp/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-sgcp/README.html