Neet: Simulating and analyzing network models
Neet is a python package designed to provide an easy-to-use API for creating and evaluating network models. In its current state, Neet supports simulating synchronous Boolean network models, though the API is designed to be model generic. Future work will implement asynchronous update mechanisms and more general network types.
If you are interested in using Neet, you'll definitely be interested in checking out the documentation - https://elife-asu.github.io/Neet.
To install via
pip, you can run the following
$ pip install neet
Note that on some systems this will require administrative privileges. If you
don't have admin privileges or would prefer to install Neet for your user
only, you do so via the
$ pip install --user neet
$ git clone https://github.com/elife-asu/neet $ cd neet $ python setup.py test $ pip install .
Neet is developed to help people interested in using and analyzing network models to get things done quickly and painlessly. Your feedback is indispensable. Please create an issue if you find a bug, an error in the documentation, or have a feature you'd like to request. Your contribution will make Neet a better tool for everyone.
If you are interested in contributing to Neet, please contact the developers. We'll get you up and running!
- Neet Source Repository
- Neet Issue Tracker
- Daniels, B.C., Kim, H., Moore, D.G., Zhou, S., Smith, H.B., Karas, B., Kauffman, S.A., and Walker, S.I. (2018) "Criticality Distinguishes the Ensemble of Biological Regulatory Networks" Phys. Rev. Lett. 121 (13), 138102, doi:10.1103/PhysRevLett.121.138102
So far the python wrapper has been tested under
python3.5, and on the following platforms:
- Debian 8
- Mac OS X 10.11 (El Capitan)
- Windows 10
Copyright and Licensing
Copyright © 2017-2018 Bryan C. Daniels, Bradley Karas, Hyunju Kim, Douglas G. Moore, Harrison Smith, Sara I. Walker, and Siyu Zhou. Free use of this software is granted under the terms of the MIT License.
See the LICENSE for details.