:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-chetah' .. highlight: bash bioconductor-chetah =================== .. conda:recipe:: bioconductor-chetah :replaces_section_title: :noindex: Fast and accurate scRNA\-seq cell type identification :homepage: https://bioconductor.org/packages/3.18/bioc/html/CHETAH.html :license: file LICENSE :recipe: /`bioconductor-chetah `_/`meta.yaml `_ CHETAH \(CHaracterization of cEll Types Aided by Hierarchical classification\) is an accurate\, selective and fast scRNA\-seq classifier. Classification is guided by a reference dataset\, preferentially also a scRNA\-seq dataset. By hierarchical clustering of the reference data\, CHETAH creates a classification tree that enables a step\-wise\, top\-to\-bottom classification. Using a novel stopping rule\, CHETAH classifies the input cells to the cell types of the references and to \"intermediate types\"\: more general classifications that ended in an intermediate node of the tree. .. conda:package:: bioconductor-chetah |downloads_bioconductor-chetah| |docker_bioconductor-chetah| :versions: .. raw:: html
1.18.0-01.16.0-01.14.0-01.9.0-01.8.0-01.6.0-11.6.0-01.4.0-01.2.0-0 ``1.18.0-0``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.9.0-0``,  ``1.8.0-0``,  ``1.6.0-1``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.4-0`` .. raw:: html
:depends bioconductor-biodist: ``>=1.74.0,<1.75.0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-corrplot: :depends r-cowplot: :depends r-dendextend: :depends r-ggplot2: :depends r-pheatmap: :depends r-plotly: :depends r-reshape2: :depends r-shiny: :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-chetah and update with:: mamba update bioconductor-chetah To create a new environment, run:: mamba create --name myenvname bioconductor-chetah 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-chetah: (see `bioconductor-chetah/tags`_ for valid values for ````) .. |downloads_bioconductor-chetah| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-chetah.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-chetah :alt: (downloads) .. |docker_bioconductor-chetah| image:: https://quay.io/repository/biocontainers/bioconductor-chetah/status :target: https://quay.io/repository/biocontainers/bioconductor-chetah .. _`bioconductor-chetah/tags`: https://quay.io/repository/biocontainers/bioconductor-chetah?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-chetah/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-chetah/README.html