Data Mining and Applications in Genomics (Lecture Notes in Electrical Engineering) [Hardcover]

Sio-Iong Ao (Author)

Book Description

Publication Date: October 14, 2008 | ISBN-10: 1402089740 | ISBN-13: 978-1402089749 | Edition: 1

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.

Editorial Reviews

From the Back Cover

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Topics covered include Genomic Techniques, Single Nucleotide Polymorphisms, Disease Studies, HapMap Project, Haplotypes, Tag-SNP Selection, Linkage Disequilibrium Map, Gene Regulatory Networks, Dimension Reduction, Feature Selection, Feature Extraction, Principal Component Analysis, Independent Component Analysis, Machine Learning Algorithms, Hybrid Intelligent Techniques, Clustering Algorithms, Graph Algorithms, Numerical Optimization Algorithms, Data Mining Software Comparison, Medical Case Studies, Bioinformatics Projects, and Medical Applications. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serve as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.

Product Details

• Hardcover: 164 pages
• Publisher: Springer; 1 edition (October 14, 2008)
• Language: English
• ISBN-10: 1402089740
• ISBN-13: 978-1402089749
• Product Dimensions: 8.9 x 6.3 x 0.6 inches
• Shipping Weight: 13.6 ounces (View shipping rates and policies)
• Amazon Best Sellers Rank: #1,509,397 in Books (See Top 100 in Books)

More About the Author

Dr. Ao obtained his PhD from the University of Hong Kong, and finished his post-doctoral research in Oxford University Computing Laboratory, University of Oxford, and Initiative in Innovative Computing, Harvard School of Engineering and Applied Sciences, Harvard University. He has been one of the founders and the IT director of a leading web hosting and application development corporation in Hong Kong. Dr. Ao was selected as one of the Tenth Outstanding e-Entrepreneurs (1999) and also appeared in other interview reports including the front-page interview by PC Market, and those by Hong Kong Economic Times, PCWorld Hong Kong, PCXpress, PCWeekly, and PC.com etc.

His other honors included: (1) Selected for the First Edition of Who's Who in Asia (Marquis Who's Who, 2006); (2) Selected for the 25th Silver Anniversary Edition of Who's Who in the World (Marquis Who's Who, 2008); (3) Selected for 2000 Outstanding Intellectuals of the 21st Century (International Biographical Centre, Cambridge, England, 2008); (4) Commended for the Thirty-Fourth Edition of the Dictionary of International Biography (International Biographical Centre, Cambridge, England, 2007), and; (5) Selected for the Who's Who in the World (Marquis Who's Who, 2010) etc.

Dr. Ao is the principal developer of the genomics software CLUSTAG and WCLUSTAG, which have been adopting by the medical researchers for their complex disease analysis. His research interests are mainly on the data mining algorithms, intelligent systems and their applications, and have published more than thirty books on these domains, including the authored monographs Data Mining and Applications in Genomics (Springer), and Applied Time Series Analysis and Innovative Computing (Springer).

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