:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-imcdatasets' .. highlight: bash bioconductor-imcdatasets ======================== .. conda:recipe:: bioconductor-imcdatasets :replaces_section_title: :noindex: Collection of publicly available imaging mass cytometry \(IMC\) datasets :homepage: https://bioconductor.org/packages/3.18/data/experiment/html/imcdatasets.html :license: GPL-3 + file LICENSE :recipe: /`bioconductor-imcdatasets `_/`meta.yaml `_ The imcdatasets package provides access to publicly available IMC datasets. IMC is a technology that enables measurement of \> 40 proteins from tissue sections. The generated images can be segmented to extract single cell data. Datasets typically consist of three elements\: a SingleCellExperiment object containing single cell data\, a CytoImageList object containing multichannel images and a CytoImageList object containing the cell masks that were used to extract the single cell data from the images. .. conda:package:: bioconductor-imcdatasets |downloads_bioconductor-imcdatasets| |docker_bioconductor-imcdatasets| :versions: ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.2.0-1``,  ``1.2.0-0``,  ``1.0.0-0`` :depends bioconductor-cytomapper: ``>=1.14.0,<1.15.0`` :depends bioconductor-data-packages: ``>=20231203`` :depends bioconductor-delayedarray: ``>=0.28.0,<0.29.0`` :depends bioconductor-experimenthub: ``>=2.10.0,<2.11.0`` :depends bioconductor-hdf5array: ``>=1.30.0,<1.31.0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0`` :depends bioconductor-spatialexperiment: ``>=1.12.0,<1.13.0`` :depends curl: :depends r-base: ``>=4.3,<4.4.0a0`` :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-imcdatasets and update with:: mamba update bioconductor-imcdatasets To create a new environment, run:: mamba create --name myenvname bioconductor-imcdatasets 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-imcdatasets: (see `bioconductor-imcdatasets/tags`_ for valid values for ````) .. |downloads_bioconductor-imcdatasets| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-imcdatasets.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-imcdatasets :alt: (downloads) .. |docker_bioconductor-imcdatasets| image:: https://quay.io/repository/biocontainers/bioconductor-imcdatasets/status :target: https://quay.io/repository/biocontainers/bioconductor-imcdatasets .. _`bioconductor-imcdatasets/tags`: https://quay.io/repository/biocontainers/bioconductor-imcdatasets?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-imcdatasets/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-imcdatasets/README.html