recipe r-lisi

A method to assess how well mixed cells with different labels are in single cell RNAseq.

Homepage:

https://github.com/immunogenomics/LISI

License:

GPL3 / GPL-3

Recipe:

/r-lisi/meta.yaml

package r-lisi

versions:

1.0-8,  1.0-7,  1.0-6,  1.0-5,  1.0-3,  1.0-2,  1.0-1,  1.0-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

depends r-ggplot2:

depends r-magrittr:

depends r-rann:

depends r-rcpparmadillo:

depends r-testthat:

depends r-tidyr:

requirements:

additional platforms:

linux-aarch64,  osx-arm64

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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 r-lisi

and update with::

   mamba update r-lisi

To create a new environment, run:

mamba create --name myenvname r-lisi

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/r-lisi:<tag>

(see `r-lisi/tags`_ for valid values for ``<tag>``)

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