Customized Steady-State Constraints for Parameter Estimation in Non-Linear Ordinary Differential Equation Models.

ABSTRACT: 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. For non-linear models, analytical steady-state calculation typically leads to higher-order polynomial equations for which no closed-form solutions can be obtained. This can be circumvented by solving the steady-state equations for kinetic parameters, which results in a linear equation system with comparatively simple solu

SUBMITTER: Rosenblatt M 

PROVIDER: S-EPMC4863410 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature