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Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems
Jason H. Moore and Lance W. Hahn
Program in Human Genetics
Vanderbilt University
Nashville, TN, USA 37232-0700
{Moore,Hahn}@phg.mc.Vanderbilt.edu
Abstract. 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.
LNCS 2724, p. 2412 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003