Evolutionary pattern recognition in complex biological networks

01 October 2016 → 30 September 2020
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
    • Bioinformatics and computational biology
  • Medical and health sciences
    • Bioinformatics and computational biology
    • Bioinformatics and computational biology
    • Public health care
    • Public health services
    • Bioinformatics and computational biology
  • Engineering and technology
    • Scientific computing
biological networks Cellular automata complex systems
Project description

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.