:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-ccimpute' .. highlight: bash bioconductor-ccimpute ===================== .. conda:recipe:: bioconductor-ccimpute :replaces_section_title: :noindex: ccImpute\: an accurate and scalable consensus clustering based approach to impute dropout events in the single\-cell RNA\-seq data \(https\:\/\/doi.org\/10.1186\/s12859\-022\-04814\-8\) :homepage: https://bioconductor.org/packages/3.18/bioc/html/ccImpute.html :license: GPL-3 :recipe: /`bioconductor-ccimpute `_/`meta.yaml `_ Dropout events make the lowly expressed genes indistinguishable from true zero expression and different than the low expression present in cells of the same type. This issue makes any subsequent downstream analysis difficult. ccImpute is an imputation algorithm that uses cell similarity established by consensus clustering to impute the most probable dropout events in the scRNA\-seq datasets. ccImpute demonstrated performance which exceeds the performance of existing imputation approaches while introducing the least amount of new noise as measured by clustering performance characteristics on datasets with known cell identities. .. conda:package:: bioconductor-ccimpute |downloads_bioconductor-ccimpute| |docker_bioconductor-ccimpute| :versions: ``1.4.0-0``,  ``1.2.1-0``,  ``1.0.0-1``,  ``1.0.0-0`` :depends bioconductor-biocparallel: ``>=1.36.0,<1.37.0`` :depends bioconductor-biocparallel: ``>=1.36.0,<1.37.0a0`` :depends bioconductor-simlr: ``>=1.28.0,<1.29.0`` :depends bioconductor-simlr: ``>=1.28.0,<1.29.0a0`` :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-matrixstats: :depends r-rcpp: :depends r-rcppeigen: :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-ccimpute and update with:: mamba update bioconductor-ccimpute To create a new environment, run:: mamba create --name myenvname bioconductor-ccimpute 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-ccimpute: (see `bioconductor-ccimpute/tags`_ for valid values for ````) .. |downloads_bioconductor-ccimpute| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-ccimpute.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-ccimpute :alt: (downloads) .. |docker_bioconductor-ccimpute| image:: https://quay.io/repository/biocontainers/bioconductor-ccimpute/status :target: https://quay.io/repository/biocontainers/bioconductor-ccimpute .. _`bioconductor-ccimpute/tags`: https://quay.io/repository/biocontainers/bioconductor-ccimpute?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-ccimpute/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-ccimpute/README.html