:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-sccomp' .. highlight: bash bioconductor-sccomp =================== .. conda:recipe:: bioconductor-sccomp :replaces_section_title: :noindex: Robust Outlier\-aware Estimation of Composition and Heterogeneity for Single\-cell Data :homepage: https://bioconductor.org/packages/3.18/bioc/html/sccomp.html :license: GPL-3 :recipe: /`bioconductor-sccomp `_/`meta.yaml `_ A robust and outlier\-aware method for testing differential tissue composition from single\-cell data. This model can infer changes in tissue composition and heterogeneity\, and can produce realistic data simulations based on any existing dataset. This model can also transfer knowledge from a large set of integrated datasets to increase accuracy further. .. conda:package:: bioconductor-sccomp |downloads_bioconductor-sccomp| |docker_bioconductor-sccomp| :versions: ``1.4.0-0``,  ``1.1.0-1``,  ``1.1.0-0`` :depends bioconductor-singlecellexperiment: ``>=1.22.0,<1.23.0`` :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-bh: ``>=1.66.0`` :depends r-boot: :depends r-dplyr: :depends r-forcats: :depends r-ggplot2: :depends r-ggrepel: :depends r-glue: :depends r-lifecycle: :depends r-magrittr: :depends r-patchwork: :depends r-purrr: :depends r-rcpp: ``>=0.12.0`` :depends r-rcppeigen: ``>=0.3.3.3.0`` :depends r-rcppparallel: ``>=5.0.1`` :depends r-readr: :depends r-rlang: :depends r-rstan: ``>=2.18.1`` :depends r-rstantools: ``>=2.1.1`` :depends r-scales: :depends r-seuratobject: :depends r-stanheaders: ``>=2.18.0`` :depends r-stringr: :depends r-tibble: :depends r-tidyr: :depends r-tidyselect: :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-sccomp and update with:: mamba update bioconductor-sccomp To create a new environment, run:: mamba create --name myenvname bioconductor-sccomp 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-sccomp: (see `bioconductor-sccomp/tags`_ for valid values for ````) .. |downloads_bioconductor-sccomp| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-sccomp.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-sccomp :alt: (downloads) .. |docker_bioconductor-sccomp| image:: https://quay.io/repository/biocontainers/bioconductor-sccomp/status :target: https://quay.io/repository/biocontainers/bioconductor-sccomp .. _`bioconductor-sccomp/tags`: https://quay.io/repository/biocontainers/bioconductor-sccomp?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-sccomp/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-sccomp/README.html