Computational Biology group develops algorithms and computational models to address biomedical research problems. The group’s aim is to uncover the molecular basis of human cancers and to generate new avenues for treatment and diagnostics. To reach this goal we integrate both experimental and computational expertise within our research group.

Latest News

We are honored to receive 200K EUR grant from @Syopasaatio to study the chromatin conformation changes in human prostate cancer progression. Congratulations also to all collaborators who were successful in the call!

Congratulations @ResearchWyatt for @TheLancetOncol article. Great work Matti and Sinja. Comparison of abiraterone and enzalutamide in metastatic castration resistant #prostatecancer. Difference in second-line efficacy, suggesting an optimal treatment order of abiaterone first.

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