Evolving petri nets to represent metabolic pathways
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Formal verification to enhance evolution of protocols
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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We propose here a grammatical evolution approach for the automatic discovery of Petri net models of biochemical systems that are consistent with population level genetic models of disease susceptibility. We demonstrate the grammatical evolution approach routinely identifies interesting and useful Petri net models in a human-competitive manner. This study opens the door for hierarchical systems modeling of the relationship between genes, biochemistry, and measures of health.