Research Projects
Biomedical Informatics and Computational Biology
Multi-Modality Data Mining: Accelerating Discovery
Advances in biomedical research areas such as genomics and imaging are providing new insights into functioning of the human body. These advances have also resulted in a rapid rise in the size and complexity of research data being collected by researchers. Traditional data analysis methods were not designed to deal with these very large datasets. The purpose of this project is to develop new data analysis tools that can deal with the analysis of large datasets quickly and efficiently.
The proposed data analysis tool will allow investigators to extract patterns out of a wide variety of large and complex datasets that otherwise may not be identified with currently available methods. These identified patterns can then guide the development of future studies. Importantly, these tools will allow investigators to maximize the usefulness of information obtain from their data.
Investigators
- Kelvin Lim, University of Minnesota
- Vipin Kumar, University of Minnesota
- Monica Luciana, University of Minnesota
- Michael Steinbach, University of Minnesota
- Tim Mullins, IBM
- Richard Mushlin, IBM
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Biomedical Informatics and Computational Biology
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