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pubmed-article:18366722pubmed:abstractTextModeling and simulation of cellular signaling and metabolic pathways as networks of biochemical reactions yields sets of non-linear ordinary differential equations. These models usually depend on several parameters and initial conditions. If these parameters are unknown, results from simulation studies can be misleading. Such a scenario can be avoided by fitting the model to experimental data before analyzing the system. This involves parameter estimation which is usually performed by minimizing a cost function which quantifies the difference between model predictions and measurements. Mathematically, this is formulated as a non-linear optimization problem which often results to be multi-modal (non-convex), rendering local optimization methods detrimental.lld:pubmed
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pubmed-article:18366722pubmed:articleTitleHybrid optimization method with general switching strategy for parameter estimation.lld:pubmed
pubmed-article:18366722pubmed:affiliationProcess Engineering Group, Spanish Council for Scientific Research, IIM-CSIC, Spain. ebalsa@iim.csic.eslld:pubmed
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