The GeneNet algorithm is used to learn genetic regulatory network connectivity from experimental data. It exploits the time series nature of experimental data to allow for better causal predictions on networks with tight feedback.
Website: Myers Research Group
Contact: Chris Myers (@cjmyers) myers@ece.utah.edu
If you want to compile GeneNet from source, simply run:
make
This will create a binary called GeneNet in the GeneNet/bin directory.