:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-fusesom' .. highlight: bash bioconductor-fusesom ==================== .. conda:recipe:: bioconductor-fusesom :replaces_section_title: :noindex: A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets :homepage: https://bioconductor.org/packages/3.18/bioc/html/FuseSOM.html :license: GPL-2 :recipe: /`bioconductor-fusesom `_/`meta.yaml `_ A correlation\-based multiview self\-organizing map for the characterization of cell types in highly multiplexed in situ imaging cytometry assays \(\`FuseSOM\`\) is a tool for unsupervised clustering. \`FuseSOM\` is robust and achieves high accuracy by combining a \`Self Organizing Map\` architecture and a \`Multiview\` integration of correlation based metrics. This allows FuseSOM to cluster highly multiplexed in situ imaging cytometry assays. .. conda:package:: bioconductor-fusesom |downloads_bioconductor-fusesom| |docker_bioconductor-fusesom| :versions: ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.0-1``,  ``1.0.0-0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-s4vectors: ``>=0.40.2,<0.41.0a0`` :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-analogue: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-cluster: :depends r-coop: :depends r-diptest: :depends r-fastcluster: :depends r-fcps: :depends r-fpc: :depends r-ggplot2: :depends r-ggplotify: :depends r-ggpubr: :depends r-pheatmap: :depends r-proxy: :depends r-psych: :depends r-rcpp: :depends r-stringr: :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-fusesom and update with:: mamba update bioconductor-fusesom To create a new environment, run:: mamba create --name myenvname bioconductor-fusesom 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-fusesom: (see `bioconductor-fusesom/tags`_ for valid values for ````) .. |downloads_bioconductor-fusesom| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-fusesom.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-fusesom :alt: (downloads) .. |docker_bioconductor-fusesom| image:: https://quay.io/repository/biocontainers/bioconductor-fusesom/status :target: https://quay.io/repository/biocontainers/bioconductor-fusesom .. _`bioconductor-fusesom/tags`: https://quay.io/repository/biocontainers/bioconductor-fusesom?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-fusesom/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-fusesom/README.html