Parameter estimation in models of biological oscillators: an automated regularised estimation approach.

ABSTRACT:

Background

Dynamic modelling is a core element in the systems biology approach to understanding complex biosystems. Here, we consider the problem of parameter estimation in models of biological oscillators described by deterministic nonlinear differential equations. These problems can be extremely challenging due to several common pitfalls: (i) a lack of prior knowledge about parameters (i.e. massive search spaces), (ii) convergence to local optima (due to multimodality of the cost function), (iii) overfitting (fitting the noise instead of the signal) and (iv) a lack of identifiability. As a consequence, the use of standard estimation methods (such as gradient-based local ones) will often result in wrong solutions. Overfitting can be particularly problematic, since it produces very

SUBMITTER: Pitt JA 

PROVIDER: S-EPMC6377730 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature