- recipe bioconductor-cellnoptr
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
- Homepage:
https://bioconductor.org/packages/3.16/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:
1.44.0-0
,1.40.0-2
,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
,1.44.0-0
,1.40.0-2
,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
>=1.76.0,<1.77.0
bioconductor-rbgl
>=1.74.0,<1.75.0
bioconductor-rgraphviz
>=2.42.0,<2.43.0
graphviz
>=6.0.1,<7.0a0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see 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)