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THE QUEST FOR PATTERNS IN HIGH-DIMENSIONAL BIOMEDICAL DATA-SETS: LINKING STATISTICAL INFERENCE TO DYNAMICAL SYSTEMS

Current mathematical models of complex physio-pathological processes in high organisms are inherently limited in their ability to provide new explanations for the observed phenomena and to predict the future course of events on the basis of initial quantitative speciications. In this communication we discuss the need to develop a methodology to conjoin many pieces of data together and look systematically for explanatory or predictive patterns, prior and in addition to the construction of conventional models.