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Computational analysis of molecular disease mechanisms

Our focus is to develop novel computational methodology for the analysis of molecular disease mechanisms in cancer.

Modern array technologies produce high dimensional readouts of molecular activities in patient specimens. Characteristic patterns in this data shed light on previously unclear cancer classifications and can predict clinical outcome or treatment response.

We characterize disease related molecular disorders from array data including microarrays, RNAi screening and cytometric readouts. Our research aims to improve molecular diagnosis and to set the stage for personalized medicine.