Evolutionary Algorithm-based Model Ensemble Generation Algorithm
COPYRIGHT 2022 Kiri Choi
Evolutionary Algorithm-based Model Ensemble Generation (evoMEG) is a meta-modeling algorithm for biochemical reaction network models that generates a model ensemble from perturbation studies. This is a refactored version of the original code that works with the most recent version of libroadrunner, supporting parallel computing and direct access to model object to bypass model modification in Antimony and reloading.
The algorithm ca be executed by simply running main.py. To change the algorithm settings, modify the main.py.
This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health under awards R01-GM081070, R01-GM123032 and KIAS individual grant CG077002. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.