Modeling biological gradient formation: combining partial differential equations and Petri nets

Both Petri nets and differential equations are important modeling tools for biological processes. In this paper we demonstrate how these two modeling techniques can be combined to describe biological gradient formation. Parameters derived from partial differential equation describing the process of...

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Veröffentlicht in:	Natural computing 2016-12, Vol.15 (4), p.665-675
Hauptverfasser:	Bertens, Laura M. F., Kleijn, Jetty, Hille, Sander C., Heiner, Monika, Koutny, Maciej, Verbeek, Fons J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Biology Complex Systems Computer based modeling Computer Science Differential equations Evolutionary Biology Formations Fruits Mathematical models Modelling Parameters Partial differential equations Petri nets Processor Architectures Theory of Computation
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