recipe bioconductor-cellnoptr

Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

Homepage

https://bioconductor.org/packages/3.14/bioc/html/CellNOptR.html

License

GPL-3

Recipe

/bioconductor-cellnoptr/meta.yaml

Links

biotools: cellnoptr, doi: 10.1186/1752-0509-6-133

This package does optimisation of boolean logic networks of signalling pathways based on a previous knowledge network and a set of data upon perturbation of the nodes in the network.

package bioconductor-cellnoptr

Versions

1.40.0-1,  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,  1.28.0-0, 

1.40.0-1,  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,  1.28.0-0,  1.26.0-0,  1.24.1-0,  1.23.0-0,  1.22.0-0

Depends

• bioconductor-graph >=1.72.0,<1.73.0

• bioconductor-rbgl >=1.70.0,<1.71.0

• bioconductor-rgraphviz >=2.38.0,<2.39.0

• graphviz >=2.50.0,<3.0a0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.1,<4.2.0a0

• r-ggplot2

• r-hash

• r-igraph

• r-rcurl

• r-stringi

• r-stringr

• r-xml

Required By

• bioconductor-cnorfuzzy

• bioconductor-bnem

• bioconductor-cnorode

• bioconductor-cnordt

• bioconductor-cnorfeeder

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-cellnoptr

and update with:

conda update bioconductor-cellnoptr

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-cellnoptr:<tag>

(see bioconductor-cellnoptr/tags for valid values for <tag>)

Download stats

Link to this page

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