recipe bioconductor-suitor

Selecting the number of mutational signatures through cross-validation

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/SUITOR.html

License:

GPL-2

Recipe:

/bioconductor-suitor/meta.yaml

An unsupervised cross-validation method to select the optimal number of mutational signatures. A data set of mutational counts is split into training and validation data.Signatures are estimated in the training data and then used to predict the mutations in the validation data.

package bioconductor-suitor

(downloads) docker_bioconductor-suitor

versions:

1.8.0-01.4.0-01.2.0-01.0.0-11.0.0-0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

depends r-ggplot2:

requirements:

additional platforms:

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 bioconductor-suitor

and update with::

   mamba update bioconductor-suitor

To create a new environment, run:

mamba create --name myenvname bioconductor-suitor

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-suitor:<tag>

(see `bioconductor-suitor/tags`_ for valid values for ``<tag>``)

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