Computational systems biology
In our group we cover the following areas of computational systems biology.
Modeling and simulation of biomolecular networks and physiological systems
- Nonlinear Differential Equation models
- Parameter Sensitivity Analysis
- Feedback control in biomolecular networks
Data integration / model parameterization
- Parameter Estimation (Maximum Likelihood Estimation, Bayesian Parameter Estimation)
- Uncertainty Analysis (Prediction Uncertainty Analysis, PUA)
- Experimental Design
Multi-scale modeling in biology and biomedicine
- Modelling of adaptations in biological systems: disease progression and integration of longitudinal treatment-in-time data from patients (ADAPT, multiple time-scales)
- Spatio-temporal dynamics of metabolic networks (PDE models)
