:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-hoodscanr' .. highlight: bash bioconductor-hoodscanr ====================== .. conda:recipe:: bioconductor-hoodscanr :replaces_section_title: :noindex: Spatial cellular neighbourhood scanning in R :homepage: https://bioconductor.org/packages/3.18/bioc/html/hoodscanR.html :license: GPL-3 + file LICENSE :recipe: /`bioconductor-hoodscanr `_/`meta.yaml `_ hoodscanR is an user\-friendly R package providing functions to assist cellular neighborhood analysis of any spatial transcriptomics data with single\-cell resolution. All functions in the package are built based on the SpatialExperiment object\, allowing integration into various spatial transcriptomics\-related packages from Bioconductor. The package can result in cell\-level neighborhood annotation output\, along with funtions to perform neighborhood colocalization analysis and neighborhood\-based cell clustering. .. conda:package:: bioconductor-hoodscanr |downloads_bioconductor-hoodscanr| |docker_bioconductor-hoodscanr| :versions: ``1.0.0-0`` :depends bioconductor-complexheatmap: ``>=2.18.0,<2.19.0`` :depends bioconductor-complexheatmap: ``>=2.18.0,<2.19.0a0`` :depends bioconductor-spatialexperiment: ``>=1.12.0,<1.13.0`` :depends bioconductor-spatialexperiment: ``>=1.12.0,<1.13.0a0`` :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-circlize: :depends r-ggplot2: :depends r-knitr: :depends r-rann: :depends r-rcpp: ``>=1.0.9`` :depends r-rlang: :depends r-rmarkdown: :depends r-scico: :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-hoodscanr and update with:: mamba update bioconductor-hoodscanr To create a new environment, run:: mamba create --name myenvname bioconductor-hoodscanr 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-hoodscanr: (see `bioconductor-hoodscanr/tags`_ for valid values for ````) .. |downloads_bioconductor-hoodscanr| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-hoodscanr.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-hoodscanr :alt: (downloads) .. |docker_bioconductor-hoodscanr| image:: https://quay.io/repository/biocontainers/bioconductor-hoodscanr/status :target: https://quay.io/repository/biocontainers/bioconductor-hoodscanr .. _`bioconductor-hoodscanr/tags`: https://quay.io/repository/biocontainers/bioconductor-hoodscanr?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-hoodscanr/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-hoodscanr/README.html