Recent developments in parameter estimation and structure identification of biochemical and genomic systems.

ABSTRACT: The organization, regulation and dynamical responses of biological systems are in many cases too complex to allow intuitive predictions and require the support of mathematical modeling for quantitative assessments and a reliable understanding of system functioning. All steps of constructing mathematical models for biological systems are challenging, but arguably the most difficult task among them is the estimation of model parameters and the identification of the structure and regulation of the underlying biological networks. Recent advancements in modern high-throughput techniques have been allowing the generation of time series data that characterize the dynamics of genomic, proteomic, metabolic, and physiological responses and enable us, at least in principle, to tackle estimation and i

SUBMITTER: Chou IC 

PROVIDER: S-EPMC2693292 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature