Skip to content
Training of logic models of signalling networks using prior knowledge networks and perturbation data.
Branch: master
Clone or download
cokelaer Merge pull request #110 from deeenes/master
a number of issues fixed for Py3 compatibility
Latest commit b7266a1 Oct 10, 2016
Type Name Latest commit message Commit time
Failed to load latest commit information.
doc fix issue with check_midas_compat in test and cnograph module. Dec 21, 2014
notebooks update test and setup Jun 14, 2015
share adding css for the reports Dec 17, 2014
.gitignore Updata .gitignore to skip files generated by PuLP. Nov 20, 2014
LICENSE Initial commit Sep 9, 2014 add doc Nov 5, 2014
README.rst Update README.rst Apr 4, 2016


Note:Cellnopt is tested under Python2.7 and portage to Python3 is on the way
Contributions:Please join cellnopt github project and share your notebooks
Issues:Please use cellnopt issues and bug report
Documentation:Some documentation (mostly API) are also available on pypi
references:For this python version, please see ; for the underlying R packages, please see

This is a stable version that contains datasets and tools to manipulate models and data sets used in CellNOpt project. The sub-package is ready and is a replacement for cellnopt.core package. cno.datasets sub-package is a replacement for package.

As for the formalisms, pipelines are provided for each formalism and are available in the boolean, ode and fuzzy packages.

See also: for the context.


From Pypi / pip:

sudo pip install cno

From github:

# Get the source either from http
git clone
# or SSH
# git clone
cd cellnopt
sudo python install
You can’t perform that action at this time.