Research Projects
Biomedical Informatics and Computational Biology
Mining Genetic Determinants of Human Disease
Integrating genomic information for computational identification of genetic determinants of disease promises to shed light on the causes and mechanisms of diseases in unanticipated ways. The objective of this project is to develop semi-supervised machine learning algorithms on graphs and supervised association analysis methods for the identification of clinically relevant SNPs that can serve as prognostic or diagnostic biomarkers. These algorithms will be applied to study genetic alterations in lung cancer, focusing on both neuroendocrine carcinomas of the lung and non-small cell lung cancer.
Investigators
- Jean-Pierre Kocher, Mayo Clinic
- Hugues Sicotte, Mayo Clinic
- Dennis Wigle, Mayo Clinic
- Rui Kuang, University of Minnesota
- Michael Steinbach, University of Minnesota
- Vipin Kumar, University of Minnesota
- Richard Mushlin, IBM
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