Journal of Computer Science & Systems Biology

Christoph Zimmer

Publications

• Research Article
  Parameter Estimation for Stochastic Models of Biochemical Reactions
  Author(s): Christoph Zimmer and Sven SahleChristoph Zimmer and Sven Sahle
  
  Parameter estimation is very important for the analysis of models in Systems Biology. Stochastic models are of increasing importance. However parameter estimation of stochastic models is still in the early phase of development and there is need for efficient methods to estimate model parameters from time course data which is intrinsically stochastic, only partially observed and has measurement noise. In this article a fast and efficient method that is well established in the field of parameter estimation for systems of ordinary differential equations (ODE) is adapted to stochastic models. The focus is on the objective function which is shown to have advantageous properties that make it directly applicable to problems in systems biology. The proposed method can deal with stochastic systems where the behaviour qualitatively differs from the corresponding deterministic des.. Read More»
  DOI: 10.4172/jcsb.1000095

  Abstract PDF