:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-tricycle' .. highlight: bash bioconductor-tricycle ===================== .. conda:recipe:: bioconductor-tricycle :replaces_section_title: :noindex: tricycle\: Transferable Representation and Inference of cell cycle :homepage: https://bioconductor.org/packages/3.18/bioc/html/tricycle.html :license: GPL-3 :recipe: /`bioconductor-tricycle `_/`meta.yaml `_ The package contains functions to infer and visualize cell cycle process using Single Cell RNASeq data. It exploits the idea of transfer learning\, projecting new data to the previous learned biologically interpretable space. We provide a pre\-learned cell cycle space\, which could be used to infer cell cycle time of human and mouse single cell samples. In addition\, we also offer functions to visualize cell cycle time on different embeddings and functions to build new reference. .. conda:package:: bioconductor-tricycle |downloads_bioconductor-tricycle| |docker_bioconductor-tricycle| :versions: ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.2.0-0``,  ``1.0.0-0`` :depends bioconductor-annotationdbi: ``>=1.64.0,<1.65.0`` :depends bioconductor-genomicranges: ``>=1.54.0,<1.55.0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-scater: ``>=1.30.0,<1.31.0`` :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-circular: :depends r-dplyr: :depends r-ggnewscale: :depends r-ggplot2: :depends r-rcolorbrewer: :depends r-scattermore: :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-tricycle and update with:: mamba update bioconductor-tricycle To create a new environment, run:: mamba create --name myenvname bioconductor-tricycle 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-tricycle: (see `bioconductor-tricycle/tags`_ for valid values for ````) .. |downloads_bioconductor-tricycle| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-tricycle.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-tricycle :alt: (downloads) .. |docker_bioconductor-tricycle| image:: https://quay.io/repository/biocontainers/bioconductor-tricycle/status :target: https://quay.io/repository/biocontainers/bioconductor-tricycle .. _`bioconductor-tricycle/tags`: https://quay.io/repository/biocontainers/bioconductor-tricycle?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-tricycle/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-tricycle/README.html