Prof. Emo Welzl and Prof. Bernd Gärtner
|Mittagsseminar Talk Information|
Date and Time: Thursday, August 15, 2013, 12:15 pm
Duration: 30 minutes
Location: CAB G51
Speaker: Chengzhe Tian
A central problem of systems biology is to understand large biological networks and to design artificial ones, but this problem proves to be very difficult because biological networks are large, nonlinear, have spatial organization and noise. Traditional methods such as graph-based methods and ODE/PDE-based methods show their limitations in practice. In this thesis, we propose a new approach of combining network motifs and monotone systems. This method can potentially analyze large networks without losing the consideration of interaction mechanisms. Analysis shows that we only need to calculate a few values (called "performance criteria") in order to predict the behavior of the extended system exactly, no matter how complicated that system is.
This thesis is supervised by Dr. Kaltenbach and Prof. Stelling in D-BSSE, ETH Zurich. Please note that the contents are not so related to the current research in the institute of theoretical computer science.
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