Control and diagnosis of Boolean networks and their application to biological systems
Mathematical models can help the understanding of complex biological systems and enable a quantitative analysis of different influence factors on system dynamic behavior. Moreover, it is possible to intervene the system behavior by imposing suitable stimuli and detect abnormalities in the system based on the mathematical model.
The study carried out in this project is based on Boolean network models proposed in the pioneering work of Kaufmann et al., which mainly describe the interaction between the genes and are relatively robust against measurement noises. The main objectives of the project are: (1) development of new approaches to model-based control and diagnosis of Boolean networks, (2) application of the proposed control and diagnosis approaches to selected biological systems.