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Inverse bifurcation analysis: application to simple gene systems
Authors:James Lu  Heinz W Engl  Peter Schuster
Institution:1. Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Altenbergerstrasse 69, A-4040, Linz, Austria
2. Theoretical Biochemistry Group, Institute for Theoretical Chemistry, University of Vienna, W?hringerstrasse 17, A-1090, Vienna, Austria
Abstract:

Background  

Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional forward problem of determining the mapping from parameter space to the space of model behavior, the inverse problem of determining model parameters to result in certain desired properties of the bifurcation diagram provides an attractive methodology for addressing important biological problems. These include understanding how the robustness of qualitative behavior arises from system design as well as providing a way to engineer biological networks with qualitative properties.
Keywords:
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