Structural identifiability of systems biology models: a critical comparison of methods.

ABSTRACT: Analysing the properties of a biological system through in silico experimentation requires a satisfactory mathematical representation of the system including accurate values of the model parameters. Fortunately, modern experimental techniques allow obtaining time-series data of appropriate quality which may then be used to estimate unknown parameters. However, in many cases, a subset of those parameters may not be uniquely estimated, independently of the experimental data available or the numerical techniques used for estimation. This lack of identifiability is related to the structure of the model, i.e. the system dynamics plus the observation function. Despite the interest in knowing a priori whether there is any chance of uniquely estimating all model unknown parameters, the structural

SUBMITTER: Chis OT 

PROVIDER: S-EPMC3222653 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature