In Silico Systems Biology 2016 is a course dedicated to the use of systems-based modelling approaches to understand biological and biomedical problems.
Topics
- Quantitative Modelling: Chemical kinetics, constraint-based modelling and stochastic simulations, including spatial representations
- Qualitative Modelling: modelling and simulation of networks using logic approaches and analysis of their dynamic properties
- Model Sharing: how to encode and annotate models
- Network Analysis and Pathway Enrichment
Who should Attend
PhD students and researchers with a minimum of one year experience in the field of systems biology modelling.
