Fides: Reliable trust-region optimization for parameter estimation of ordinary differential equation models.

ABSTRACT: Ordinary differential equation (ODE) models are widely used to study biochemical reactions in cellular networks since they effectively describe the temporal evolution of these networks using mass action kinetics. The parameters of these models are rarely known a priori and must instead be estimated by calibration using experimental data. Optimization-based calibration of ODE models on is often challenging, even for low-dimensional problems. Multiple hypotheses have been advanced to explain why biochemical model calibration is challenging, including non-identifiability of model parameters, but there are few comprehensive studies that test these hypotheses, likely because tools for performing such studies are also lacking. Nonetheless, reliable model calibration is essential for uncertainty

SUBMITTER: Frohlich F 

PROVIDER: S-EPMC9312381 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature