- recipe bioconductor-bnem
Training of logical models from indirect measurements of perturbation experiments
- Homepage:
- License:
GPL-3
- Recipe:
bnem combines the use of indirect measurements of Nested Effects Models (package mnem) with the Boolean networks of CellNOptR. Perturbation experiments of signalling nodes in cells are analysed for their effect on the global gene expression profile. Those profiles give evidence for the Boolean regulation of down-stream nodes in the network, e.g., whether two parents activate their child independently (OR-gate) or jointly (AND-gate).
- package bioconductor-bnem¶
- versions:
1.10.0-0
,1.8.0-0
,1.6.0-0
,1.2.0-0
,1.0.0-0
- depends bioconductor-affy:
>=1.80.0,<1.81.0
- depends bioconductor-biobase:
>=2.62.0,<2.63.0
- depends bioconductor-cellnoptr:
>=1.48.0,<1.49.0
- depends bioconductor-epinem:
>=1.26.0,<1.27.0
- depends bioconductor-graph:
>=1.80.0,<1.81.0
- depends bioconductor-limma:
>=3.58.0,<3.59.0
- depends bioconductor-mnem:
>=1.18.0,<1.19.0
- depends bioconductor-rgraphviz:
>=2.46.0,<2.47.0
- depends bioconductor-sva:
>=3.50.0,<3.51.0
- depends bioconductor-vsn:
>=3.70.0,<3.71.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-binom:
- depends r-cluster:
- depends r-flexclust:
- depends r-matrixstats:
- depends r-rcolorbrewer:
- depends r-rmarkdown:
- depends r-snowfall:
- 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-bnem and update with:: mamba update bioconductor-bnem
To create a new environment, run:
mamba create --name myenvname bioconductor-bnem
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-bnem:<tag> (see `bioconductor-bnem/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-bnem/README.html)