Computational Systems Biology and Bioninformatics
The Computational Systems Biology and Bioinformatics group develops methods and tools for systems biology, in particular metabolic modelling. The methodological foundation of the group is formed by combinatorial algorithms and machine learning, especially kernel methods. Applications of interest include metabolic flux estimation, metabolomic data analysis, metabolic network modelling and protein function prediction.
Contact person: Professor Juho Rousu