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Research Abstracts Online
January 2009 - March 2010

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University of Minnesota Twin Cities
Institute of Technology
Department of Computer Science and Engineering

PI: Rui Kuang

Mining Genetic Determinants of Human Disease

Computational identification of genetic determinants of disease from high-throughput genomic data is an increasingly challenging problem. Technology development in the identification of single nucleotide polymorphisms (SNPs) has now permitted whole-genome analysis of hundreds of thousands of SNPs in germline and somatic tissue samples, but tools to visualize and interpret these data have yet to mature. Integrating this information with other forms of genomic data in a disease context is a problem of even greater complexity, but promises to shed light on the genetic determinants of disease in unanticipated ways. The primary goal of this research is an integrated study of SNP genotyping and gene expression data in a disease context using lung cancer as a test case. The researchers utilize semi-supervised graph learning algorithms and supervised association analysis, both of which are suitable for accurate pattern discovery on a large scale.

Group Members

Changjin Hong, Graduate Student
BaRyun Hwang, Graduate Student
Taehyun Hwang, Graduate Student
Thanh Ngo, Graduate Student
Ze Tian, Graduate Student
Changqing Ye, Graduate Student
Wei Zhang, Graduate Student