Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Abstract: The analysis of huge inhomogenous datasets is one of the main challenges in personalized medicine, which aims at more specific diagnosis and treatment of disease. In personalized medicine, the disease of individual patients are characterized on the basis of several parameters including molecular data (e.g. genetic polymorphisms, gene expression or proteomics data) as well as a broad spectrum of medical data (e.g. laboratory parameters, clinical phenotypes or pathological alterations).
Currently no suitable tool is available to cope with the increasing demands of data integration in personalized medicine. To address this need, we propose the further development of a data analysis system (Visual Analytics for Personalized Medicine, VIPEM) which takes advantage of the high visual data analysis capacities of humans and is specifically designed to support medical experts and basic researchers in hypothesis-driven data mining. Therefore the proposed project comprises an interdisciplinary team of medical experts and computer scientists.

Mitarbeiter*innen: Zatloukal, Kurt, Projektleiter*in; Müller, Heimo, Projektmitarbeiter*in

Beteiligte MUG-Organisationseinheiten: Diagnostik und Forschungsinstitut für Pathologie

Gefördert durch: FWF, Fonds zur Förderung der Wissenschaftlichen Forschung, Wien, Österreich

Publizierte Projektergebnisse: > Caleydo: connecting pathways and gene expression.... Bioinformatics. 2009; 25(20): 2760-2761.