Training of logic models of signalling networks using prior knowledge networks and perturbation data.
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README.rst

cellnopt/cno

https://secure.travis-ci.org/cellnopt/cellnopt.png https://coveralls.io/repos/cellnopt/cellnopt/badge.png?branch=master https://landscape.io/github/cellnopt/cellnopt/master/landscape.png https://badge.waffle.io/cellnopt/cellnopt.png?label=ready&title=Ready
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 http://arxiv.org/abs/1412.6386 ; for the underlying R packages, please see www.cellnopt.org

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

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

See also:http://www.cellnopt.org for the context.

Installation

From Pypi / pip:

sudo pip install cno

From github:

# Get the source either from http
git clone http://github.com/cellnopt/cellnopt.git
# or SSH
# git clone git@github.com:cellnopt/cellnopt.git
cd cellnopt
sudo python setup.py install