- 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
- 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
- Required By
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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-cellnoptr/README.html)