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Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics—Part 2

Charles X. Ling
William Stafford Noble
Qiang Yang

Pages: pp. 177-178

About the Authors

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Charles X. Ling received the Msc and PhD degrees from the Department of Computer Science at the University of Pennsylvania in 1987 and 1989, respectively. Since then, he has been a faculty member in computer science at the University of Western Ontario. See for more information. His main research areas include machine learning (theory, algorithms, and its applications in Internet, e-business, and bioinformatics). He has published more than 80 research papers in journals (such as Machine Learning, the Journal of Artificial Intelligence Research, and IEEE Transactions on Knowledge and Data Engineering) and international conferences (such as IJCAI, and ICML).
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William Stafford Noble received the PhD degree in computer science and cognitive science from the University of California, San Diego in 1998, where he studied with Charles Elkan. He then spent one year as a Sloan/DOE postdoctoral fellow with David Haussler at the University of California, Santa Cruz. From 1999 to 2002, he was an assistant professor in of the Department of Computer Science at Columbia University, with a joint appointment at the Columbia Genome Center. In 2002, he joined the faculty in the Department of Genome Sciences at the University of Washington, with adjunct appointments in the Department of Computer Science and Engineering and in the Division of Medicine. He is the recipient of a US National Science Foundation CAREER award and is a Sloan Research Fellow.
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Qiang Yang received the bachelor's degree from Peking University in 1982 and the PhD degree from the University of Maryland, College Park in 1989. He was a faculty member at the University of Waterloo and Simon Fraser University in Canada between 1989 and 2001. At Simon Fraser University, he held an NSERC Industrial Chair from 1995 to 1999. He is currently a faculty member at the Hong Kong University of Science and Technology. He is interested in machine learning and data mining, AI planning, and casebased reasoning. He has published two books and more than 100 research articles in conferences and journals. He was the conference chair of the 2001 International Conference on Case-Based Reasoning, a program cochair for the 2000 Canadian AI Conference, and a tutorial cochair of AAAI 2005 Conference. He has been a guest editor for the IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Intelligent Systems, Computational Intelligence Journal, and Applied Intelligence Journal. He is also on the editorial board of the IEEE Transactions on Knowledge and Data Engineering, the Knowledge and Information Intelligence Journal, and the Web Intelligence Journal.
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