recipe bioconductor-semisup

Semi-Supervised Mixture Model

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-semisup/meta.yaml

Implements a parametric semi-supervised mixture model. The permutation test detects markers with main or interactive effects, without distinguishing them. Possible applications include genome-wide association analysis and differential expression analysis.

package bioconductor-semisup

(downloads) docker_bioconductor-semisup

versions:
1.26.0-01.24.0-01.22.0-01.18.0-01.16.0-01.14.0-11.14.0-01.12.3-01.10.0-0

1.26.0-01.24.0-01.22.0-01.18.0-01.16.0-01.14.0-11.14.0-01.12.3-01.10.0-01.8.0-11.8.0-01.6.0-01.4.0-01.2.0-01.0.2-0

depends r-base:

>=4.3,<4.4.0a0

depends r-vgam:

requirements:

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-semisup

and update with::

   mamba update bioconductor-semisup

To create a new environment, run:

mamba create --name myenvname bioconductor-semisup

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-semisup:<tag>

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

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