Medizinische Universität Graz - Research portal

• Go directly to the nagivation.
• Go directly to the content.

• Print view.
• German.
• Contact.
• Data entry.
• Start.
• Open Access.

VIPEM, Visual Analytics for Personalized Medicine

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.

Project Leader:

Zatloukal Kurt

Duration:

01.11.2007-30.04.2010

Programme:

Translational Research

Type of Research

applied research

Staff

Zatloukal, Kurt, Project Leader

Müller, Heimo, Co-worker

MUG Research Units

Diagnostic and Research Institute of Pathology

Funded by

FWF, Fonds zur Förderung der Wissenschaftlichen Forschung, Wien, Austria

FWF-Grant-DOI: 10.55776/L427

Project results published

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