:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-bioimagedbs' .. highlight: bash bioconductor-bioimagedbs ======================== .. conda:recipe:: bioconductor-bioimagedbs :replaces_section_title: :noindex: Bio\- and biomedical imaging dataset for machine learning and deep learning \(for ExperimentHub\) :homepage: https://bioconductor.org/packages/3.18/data/experiment/html/BioImageDbs.html :license: Artistic-2.0 :recipe: /`bioconductor-bioimagedbs `_/`meta.yaml `_ The package provides a bioimage dataset for the image analysis using machine learning and deep learning. The dataset includes microscopy imaging data with supervised labels. The data is provided as R list data that can be loaded to Keras\/tensorflow in R. .. conda:package:: bioconductor-bioimagedbs |downloads_bioconductor-bioimagedbs| |docker_bioconductor-bioimagedbs| :versions: ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.2.2-1``,  ``1.2.0-0``,  ``1.0.2-0`` :depends bioconductor-annotationhub: ``>=3.10.0,<3.11.0`` :depends bioconductor-data-packages: ``>=20231203`` :depends bioconductor-ebimage: ``>=4.44.0,<4.45.0`` :depends bioconductor-experimenthub: ``>=2.10.0,<2.11.0`` :depends curl: :depends r-animation: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-einsum: :depends r-filesstrings: :depends r-magick: :depends r-magrittr: :depends r-markdown: :depends r-rmarkdown: :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-bioimagedbs and update with:: mamba update bioconductor-bioimagedbs To create a new environment, run:: mamba create --name myenvname bioconductor-bioimagedbs 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-bioimagedbs: (see `bioconductor-bioimagedbs/tags`_ for valid values for ````) .. |downloads_bioconductor-bioimagedbs| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-bioimagedbs.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-bioimagedbs :alt: (downloads) .. |docker_bioconductor-bioimagedbs| image:: https://quay.io/repository/biocontainers/bioconductor-bioimagedbs/status :target: https://quay.io/repository/biocontainers/bioconductor-bioimagedbs .. _`bioconductor-bioimagedbs/tags`: https://quay.io/repository/biocontainers/bioconductor-bioimagedbs?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-bioimagedbs/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-bioimagedbs/README.html