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We present a visual data mining application using the combination of clinical data, pathways and biomolecular data. Using pathways to navigate and filter the clinical and molecular data allows a more systematic and efficient investigation of problems in modern life science. A multiplicity of hypotheses can be evaluated in the same period of time, enabling a much better exploitation of the data. We present a system for data preprocessing and automatic classification, a set of visualization viewsdoi:10.1109/iv.2009.86 dblp:conf/iv/MullerRSZSLSS09 fatcat:qtzkhse5bvfhbae7tbsqchtap4