:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-scgps' .. highlight: bash bioconductor-scgps ================== .. conda:recipe:: bioconductor-scgps :replaces_section_title: :noindex: A complete analysis of single cell subpopulations\, from identifying subpopulations to analysing their relationship \(scGPS \= single cell Global Predictions of Subpopulation\) :homepage: https://bioconductor.org/packages/3.18/bioc/html/scGPS.html :license: GPL-3 :recipe: /`bioconductor-scgps `_/`meta.yaml `_ The package implements two main algorithms to answer two key questions\: a SCORE \(Stable Clustering at Optimal REsolution\) to find subpopulations\, followed by scGPS to investigate the relationships between subpopulations. .. conda:package:: bioconductor-scgps |downloads_bioconductor-scgps| |docker_bioconductor-scgps| :versions: .. raw:: html
1.16.0-01.14.1-01.12.0-11.12.0-01.8.0-21.8.0-11.8.0-01.6.0-01.2.0-0 ``1.16.0-0``,  ``1.14.1-0``,  ``1.12.0-1``,  ``1.12.0-0``,  ``1.8.0-2``,  ``1.8.0-1``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.2.0-0``,  ``1.0.0-0`` .. raw:: html
:depends bioconductor-deseq2: ``>=1.42.0,<1.43.0`` :depends bioconductor-deseq2: ``>=1.42.0,<1.43.0a0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0a0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0a0`` :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-caret: ``>=6.0`` :depends r-dplyr: :depends r-dynamictreecut: :depends r-fastcluster: :depends r-ggplot2: ``>=2.2.1`` :depends r-glmnet: ``>2.0`` :depends r-locfit: :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-scgps and update with:: mamba update bioconductor-scgps To create a new environment, run:: mamba create --name myenvname bioconductor-scgps 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-scgps: (see `bioconductor-scgps/tags`_ for valid values for ````) .. |downloads_bioconductor-scgps| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-scgps.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-scgps :alt: (downloads) .. |docker_bioconductor-scgps| image:: https://quay.io/repository/biocontainers/bioconductor-scgps/status :target: https://quay.io/repository/biocontainers/bioconductor-scgps .. _`bioconductor-scgps/tags`: https://quay.io/repository/biocontainers/bioconductor-scgps?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-scgps/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-scgps/README.html