- recipe bioconductor-panr
Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations
- Homepage:
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: panr, doi: 10.1371/journal.pcbi.1002566
This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.
- package bioconductor-panr¶
- versions:
1.52.0-0
,1.48.0-0
,1.46.0-0
,1.44.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-1
,1.36.0-0
,1.34.0-0
,1.52.0-0
,1.48.0-0
,1.46.0-0
,1.44.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-1
,1.36.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-1
,1.30.0-0
,1.28.1-0
,1.28.0-0
,1.26.0-0
,1.24.0-0
- depends bioconductor-reder:
>=3.2.0,<3.3.0
- depends r-base:
>=4.4,<4.5.0a0
- depends r-igraph:
- depends r-mass:
- depends r-pvclust:
- 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-panr and update with:: mamba update bioconductor-panr
To create a new environment, run:
mamba create --name myenvname bioconductor-panr
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-panr:<tag> (see `bioconductor-panr/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 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-panr/README.html)