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Project
Evolutionary pattern recognition in complex biological networks
Many biological systems can be represented as complex networks. In contrast to established approaches that analyze these networks on the basis of their structural properties, they can also be studied by investigating the patterns that are evolved by a discrete dynamical system built upon these networks. The aim of this proposal is to develop dedicated methods for achieving this.
Date:1 Oct 2016 → 30 Sep 2020
Keywords:biological networks, Cellular automata, complex systems
Disciplines:Visual computing, Applied mathematics in specific fields, Information sciences, Distributed computing, Bioinformatics and computational biology, Computer architecture and networks, Theoretical computer science, Other information and computing sciences, Information systems, Scientific computing, Public health care, Programming languages, Public health services