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2016-06-17(五),主講人:曾建城教授 (Department of Biostatistics, University of Pittsburgh, USA)



統 計 學 研 究 所


專 題 演 講


講 題: Integration of experimental data or analytical pipelines for improved precision medicine   
演講者: 曾建城教授 (Department of Biostatistics, University of Pittsburgh, USA)
時 間: 105年09月30日(星期五)10:40 - 12:00  (上午10:20 - 10:40茶會於統計所821室舉行)
地 點: 綜合三館837室
摘 要: With the rapidly increasing amount of experimental data, biological databases and bioinformatic pipelines to analyze them, effective information integration is becoming critical to extract meaningful knowledge and improve disease understanding towards precision medicine. In this talk, I will present three recent studies from my lab on different aspects of omics data integration. In the first paper, we have developed a MetaSparseKmeans approach to combine multiple transcriptomic studies for disease subtype discovery. In the second study, we turned to combine multi-level omics data using an overlapping group lasso technique for disease subtyping. Finally, we performed a comprehensive comparative study to evaluate 15 fusion transcript detection pipelines from paired-end RNA-seq data. A meta-caller was developed to integrate information from the top callers to improve the performance. Through these studies, I wish to provide a general introduction of omics data integration and showcase its importance and usefulness in achieving precision medicine via bioinformatic approaches.


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