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Approaches to Complexity Reduction in a Systems Biology Research Environment (SYCAMORE)

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4 Author(s)
Surovtsova, I. ; EML Res., Heidelberg Univ. ; Sable, S. ; Pahle, J. ; Kummer, U.

Due to the complexity of biochemical reaction networks, so-called complexity reduction algorithms play a crucial role for making simulations efficient and for dissecting biochemical networks into meaningful subnetworks for analysis. Here, different approaches are presented, which we are developing in the context of a computational research environment for systems biology (SYCAMORE). These approaches are based on time-scale decomposition, sensitivity analysis, and hybrid simulation methods

Published in:

Simulation Conference, 2006. WSC 06. Proceedings of the Winter

Date of Conference:

3-6 Dec. 2006

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