recipe r-sigqc

Provides gene signature quality control metrics in publication ready plots. Namely, enables the visualization of properties such as expression, variability, correlation, and comparison of methods of standardisation and scoring metrics.

Homepage:

https://CRAN.R-project.org/package=sigQC

License:

GPL / GPL-3.0-or-later

Recipe:

/r-sigqc/meta.yaml

package r-sigqc

(downloads) docker_r-sigqc

versions:
0.1.24-0,  0.1.23-1,  0.1.23-0,  0.1.22-2,  0.1.22-1,  0.1.22-0,  0.1.21-4,  0.1.21-3,  0.1.21-2, 

0.1.24-0,  0.1.23-1,  0.1.23-0,  0.1.22-2,  0.1.22-1,  0.1.22-0,  0.1.21-4,  0.1.21-3,  0.1.21-2,  0.1.21-1,  0.1.21-0,  0.1.14-0

depends bioconductor-complexheatmap:

depends bioconductor-gsva:

depends r-base:

>=4.3,<4.4.0a0

depends r-biclust:

depends r-circlize:

depends r-class:

depends r-cluster:

depends r-fmsb:

depends r-gplots:

depends r-gridgraphics:

depends r-kernsmooth:

depends r-lattice:

depends r-mass:

depends r-mclust:

depends r-moments:

depends r-nnet:

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 r-sigqc

and update with::

   mamba update r-sigqc

To create a new environment, run:

mamba create --name myenvname r-sigqc

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-sigqc:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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