Customized steady-state constraints for parameter estimation in non-linear ordinary differential equation models

Front Cell Dev Biol.          online article

Ordinary differential equation models have become a wide-spread approach to analyze dynamical systems and understand underlying mechanisms. Model parameters are often unknown and have to be estimated from experimental data, e.g., by maximum-likelihood estimation. In particular, models of biological systems contain a large number of parameters. To reduce the dimensionality of the parameter space,steady-state information is incorporated in the parameter estimation process.