NCSB Workshop: Parameter Estimation and Uncertainty Analysis in Systems Biology
- 07 Jun 2012
- Room LG 1.105, Laplace Building (LG), Eindhoven University of Technology, Den Dolech 2, 5612 AZ, Eindhoven, The Netherlands
- systems biology, mathematical models, biological reactions, parameter estimation, uncertainty, maximum likelihood, nonlinear differential equations, Bayesian approach, identifiability analysis, optimal experimental design.
- Natal van Riel
Systems biology employs mathematical modelling of biological reaction networks by systems of nonlinear differential equations. Model parameters need to be estimated using experimental data. Given the complexity of the models in combination with the limited amount of quantitative data it is important to infer how well model parameters can be determined and how uncertainty in parameters propagates into model predictions. Model identifiability and uncertainty analysis are important topics in systems biology modeling. The workshop will address different concepts and views on these topics and recent progress will be discussed.
Topics will include Maximum Likelihood and Bayesian based approaches, identifiability analysis, and optimal experimental design.
Speakers will be given ample time to introduce their research for non-experts.
- Hans van Beek, VU University / Netherlands Bioinformatics Centre, Amsterdam, NL
- Gunnar Cedersund, Linköping University, SE
- Andreas Raue, University of Freiburg, DE
- Joep Vanlier Eindhoven, University of Technology / Centre for Medical Systems Biology, Eindhoven, NL
- Vladislav Vyshemirsky, University of Strathclyde, Glasgow, UK