Workshop on Systems Biology, Tue, 06 Nov, 2007
Speaker: Antonis Papachristodoulou
Abstract
Modeling complex biological networks presents a number of mathematical challenges. For the models to be useful from a biological standpoint, they have to represent available data or be systematically invalidated by existing data. Quantifying the robustness of these models is key for biological understanding including both the deterministic stability and performance in the presence of parametric
uncertainties and their stochastic behavior in the presence of noise. In this talk, we present mathematical and algorithmic tools to address such questions. These tools are rooted in robust control and dynamical systems, but with important recent developments. At the same time, they have great practical promise and relevance, which we explore through a series of biologically meaningful examples.
URL: www.ricam.oeaw.ac.at/specsem/ssqbm/participants/abstracts/index.php
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