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Advances in genetics, proteomics and systems biology require the use of a combination of techniques borrowed from Biological Sciences, Mathematics, Statistics and Computer Science to analyze and integrate various forms of high throughput data for extracting knowledge and deriving new hypotheses. The research in our laboratory is focused on the analysis and integration of various forms of data. Our applications currently concentrate on:

Our interests also include algorithmic aspects of statistical learning methods and applications of graphic modeling. We actively collaborate with colleagues from the Medical Campus for various projects. See here for details



Last Update: August 29, 2011