:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-simlr' .. highlight: bash bioconductor-simlr ================== .. conda:recipe:: bioconductor-simlr :replaces_section_title: :noindex: Single\-cell Interpretation via Multi\-kernel LeaRning \(SIMLR\) :homepage: https://bioconductor.org/packages/3.18/bioc/html/SIMLR.html :license: file LICENSE :recipe: /`bioconductor-simlr `_/`meta.yaml `_ :links: biotools: :biotools:`simlr`, doi: :doi:`10.1101/118901` Single\-cell RNA\-seq technologies enable high throughput gene expression measurement of individual cells\, and allow the discovery of heterogeneity within cell populations. Measurement of cell\-to\-cell gene expression similarity is critical for the identification\, visualization and analysis of cell populations. However\, single\-cell data introduce challenges to conventional measures of gene expression similarity because of the high level of noise\, outliers and dropouts. We develop a novel similarity\-learning framework\, SIMLR \(Single\-cell Interpretation via Multi\-kernel LeaRning\)\, which learns an appropriate distance metric from the data for dimension reduction\, clustering and visualization. .. conda:package:: bioconductor-simlr |downloads_bioconductor-simlr| |docker_bioconductor-simlr| :versions: .. raw:: html
1.28.0-01.26.1-01.24.0-11.24.0-01.20.0-21.20.0-11.20.0-01.18.0-01.16.0-1 ``1.28.0-0``,  ``1.26.1-0``,  ``1.24.0-1``,  ``1.24.0-0``,  ``1.20.0-2``,  ``1.20.0-1``,  ``1.20.0-0``,  ``1.18.0-0``,  ``1.16.0-1``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.0-1``,  ``1.8.1-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-0`` .. raw:: html
: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-matrix: :depends r-pracma: :depends r-rcpp: :depends r-rcppannoy: :depends r-rspectra: :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-simlr and update with:: mamba update bioconductor-simlr To create a new environment, run:: mamba create --name myenvname bioconductor-simlr 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-simlr: (see `bioconductor-simlr/tags`_ for valid values for ````) .. |downloads_bioconductor-simlr| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-simlr.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-simlr :alt: (downloads) .. |docker_bioconductor-simlr| image:: https://quay.io/repository/biocontainers/bioconductor-simlr/status :target: https://quay.io/repository/biocontainers/bioconductor-simlr .. _`bioconductor-simlr/tags`: https://quay.io/repository/biocontainers/bioconductor-simlr?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-simlr/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-simlr/README.html