Predicting Disease Genes based on Artificial Intelligence-陕西师范大学
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Predicting Disease Genes based on Artificial Intelligence

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报告人:吴方向 教授

报告时间10:00      2019年7月12

报告地点:长安校区 文津楼三段3412

主办团队:生物大数据计算研究团队

报告摘要

Artificial Intelligence (AI) is a field of computer engineering and computer science that harnesses the power of techniques like machine learning and deep learning to solve problems by analysing and learning from vast datasets. With experimentally verified disease-gene data, the deep learning methods could play an important role in identifying more disease genes towards the understanding of complex diseases. In this talk, after introducing some basic concepts about artificial intelligence and deep learning, I will present two deep learning models: deep belief network and generalized neighborhood based convolutional neural networks, which we recently developed for predicting disease/driver genes from multiple sources of data.

报告人简介: 

Dr. FangXiang Wu received the B. Sc. degree and the M. Sc. degree in applied mathematics, from Dalian University of Technology, Dalian, China, in 1990 and 1993, respectively, the first Ph.D. in control theory and its applications from Northwestern Polytechnical University, Xi’an, China, in 1998, and the second Ph.D. in bioinformatics and systems biology from University of Saskatchewan, Saskatoon, Canada, in 2004. He worked as a post-doctorial fellow with Laval University Medical Research Center, Quebec City, Quebec, during 2004-2005.

Dr. Wu is a full professor of College of Engineering, and of Department of Computer Science at the University of Saskatchewan, Canada. His current research interests include Artificial Intelligence/Machine Learning, Computational Biology and Bioinformatics, Medical Image Analytics, Complex Network Analytics. He has published about 360 technical papers in refereed journals and conference proceedings.

Dr. Wu is serving as the editorial board member of five international journals (including IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Scientific Reports, Neurocomputing, etc.), the guest editor of more than 20 international journals, and as the program committee chair or member of many international conferences. He has also reviewed papers for many international journals. He is a senior member of IEEE and a registered Professional Engineer in Canada.

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