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Machine Learning & Data Mining

Jinbo Bi. Computer Science and Engineering Department University of Connecticut Email: jinbo@engr.uconn.edu. Machine Learning & Data Mining. Human Behavior Analysis. Genomics of Complex Disease s. Clinical Decision Support. Genetics of C omplex Disease s. Causes

andrew-james
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Machine Learning & Data Mining

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  1. Jinbo Bi Computer Science and Engineering Department University of Connecticut Email: jinbo@engr.uconn.edu Machine Learning & Data Mining Human Behavior Analysis Genomics of Complex Diseases Clinical Decision Support

  2. Genetics of Complex Diseases Causes Genetic heterogeneity, gene-environment Complex phenotypes Mixture of heterogeneous subtypes difficult to correlate

  3. Our project: Identify phenotypic subtypes and subtype-dependent genetic variants Predictive modeling Variance analysis Variance analysis Association analysis

  4. Subtyping Method Helps Based on 9,436 subjects, 68 clinical features and 130 candidate genes ( 1,400 SNPs) Subtype 4 – Heavy cocaine use, infrequent intravenous injection group Subtype 5 – Early-onset, heavy cocaine use, high comorbidity group

  5. References • Genomewideassociation study of opioid dependence and related traits: multiple associations mapped to calcium and potassium pathways. Joel Gelernter, Henry R. Kranzler, Richard Sherva, Ryan Koesterer, Jiangwen Sun, Jinbo Bi, Laura Almasy, Hongyu Zhao, Lindsay A. Farrer. In revision of PLoS Genetics, 2013. • Comparing the Utility of Homogeneous Subtypes of Cocaine Use and Related Behaviors with DSM-IV Cocaine Dependence as Traits for Association Analysis. Jinbo Bi, Joel Gelernter, Jiangwen Sun and Henry R. Kranzler. To appear in American Journal of Medical Genetics (Part B), 2013. • Improved methods to identify stable, highly heritable subtypes of opioid use and related behaviors. Jiangwen Sun, Jinbo Bi, Grace Chan, David Oslin, Lindsay Farrer, Joel Gelernter and Henry R. Kranzler. Addictive Behavior, 2012. • Multi-view Co-modeling to Improve Genetic Association of Complex Disease Phenotypes. Jiangwen Sun, Jinbo Bi and Henry R. Kranzler. To appear in IEEE Journal of Biomedical and Health Informatics, 2013. • Multi-view Biclustering for Genotype-Phenotype Association Studies of Complex Diseases. Jiangwen Sun, Jinbo Bi and Henry R. Kranzler. Submitted to IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2013. • A Multi-Objective Program for Quantitative Subtyping of Clinically Relevant Phenotypes. Jiangwen Sun, Jinbo Bi and Henry R. Kranzler. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2012.

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