Visualizing regulatory interdependencies and parameter sensitivities in biochemical network models

S. Noack, A. Wahl, M. Haunschild, E. Qeli, B. Freisleben and W. Wiechert

Mathematics and Computers in Simulation (MATCOM), 2008, vol. 79, issue 4, 991-998

Abstract: For the evaluation of data from stimulus response experiments dynamic metabolic network models are generated. With an increase of reaction steps and regulatory interdependencies the amount of the simulation data becomes hard to handle. In this paper, we present the application and extension of methods combining visualization and animation of dynamic models to facilitate the analysis of the complex system behaviour.

Keywords: Network visualization; Network analysis; Sensitivity analysis; Metabolic regulation (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:79:y:2008:i:4:p:991-998

DOI: 10.1016/j.matcom.2008.02.008

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