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Computational prediction of miRNA and miRNA-disease relationship
时间:2016-11-22 16:39    点击:   所属单位:计算机学院
讲座名称 Computational prediction of miRNA and miRNA-disease relationship
讲座时间 2016-11-25 14:30:00
讲座地点 北校区主楼四区107室
讲座人 邹权教授
讲座人介绍 Biography: Dr. Quan Zou is a Professor of Computer Science at Tianjin University. He received his PH.D. from Harbin Institute of Technology, P.R.China in 2009. From 2009 to 2015, he is an assistant and associate professor in Xiamen University, P.R.China. His research is in the areas of bioinformatics, machine learning and parallel computing. Several related works have been published by Briefings in Science, Bioinformatics, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, etc. Google scholar showed that his more than 100 papers have been cited more than 2000 times. He is the editor member of Scientific Reports and PLOS One. He is also a reviewer for many impacted journals, including Bioinformatics, Briefings in Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, etc. In Feb.2005, he is awarded as the Outstanding Reviewers for Computers in Biology and Medicine. He also serves as the Program Committee member for several international conferences.
讲座内容 Abstract: microRNA is a kind of “star” molecular, and serves as a “director” since it can regulate the expression of protein. In 2006, related works on gene silence won Nobel price, which made miRNA be the hot topic in molecular genetics and bioinformatics. Mining miRNA and targets prediction are two classic topics in computational miRNAnomics. In this talk, we focus on the miRNA mining problems from machine learning views. We point out that the negative data is the key problem for decreasing the False Positive rather than exploring better features. miRNA-disease relationship prediction is another hot topic in recent years. We introduce some novel network methods on calculating miRNA-miRNA similarity, which is the key issue for miRNA-disease relationship prediction. Some results revealed that several novel miRNA could serve as the targets or markers for some tumors.
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