BNFinder - tool for learning bayesian networks.
It can be used for both dynamic and static networks. It is written in python (requires version > 2.4, python 3 is not supported yet, but we plan to do it soon), and distributed under GNU GPL Library version 2.
The installation is performed by a single command in the source directory (it may require the administrator privileges):
python setup.py install
During the installation it will automaticaly setup fpconst and scipy python packages if needed. Also you can run it without installing:
python bnf --help
You can also refer to previous version:
Latest docs are in the
doc folder of the repo. Here is the article describing latest version of BNFinder:
Frolova A, Wilczyński B. (2018) Distributed Bayesian networks reconstruction on the whole genome scale. PeerJ 6:e5692 https://doi.org/10.7717/peerj.5692