Research group: Algorithmic computational biology
Coordinator: Gunnar Klau

Funding: CWI and Dutch Cancer Institute (NKI)

Duration: Apr 2009 - Apr 2013

Illustration: Immunohistochemical assay of HER2 in breast cancer

This is a joint project of CWI and the Netherlands Cancer Institute (NKI). It combines the research on detecting functional modules in interaction networks, which are predictive of a specified phenotype, e.g. outcome in cancer, with protocols for building predictive classifiers based on single gene expression and functional gene sets, which are developed in the Bioinformatics and Statistics group  at NKI.

By joining the expertise of these two groups, we aim at building better predictors of disease outcome based on functional interaction network modules. Our approach extends the current state-of-the-art by integrating multiple data sources in the construction of the interaction network and by performing several challenging algorithmic extensions to make searches in directed and weighted graphs feasible.

Researchers

• Gunnar Klau
• Christine Staiger, PhD student, jointly advised with the Dutch Cancer Institute (NKI)

Cooperation partners

• Bioinformatics and Statistics group of the Netherlands Cancer Institute (NKI)