Computational Intelligence and Pattern Analysis in Biology Informatics
Language: English
Published by John Wiley and Sons Inc, US, 2010
- Hardcover
- New

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An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics.Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases.Supplementary material included: program code and relevant data sets correspond to chapters.…
Seller Inventory # LU-9780470581599
- Title
- Computational Intelligence and Pattern Analysis in Biology Informatics
- Author
- Sanghamitra Bandyopadhyay, Jason T. Wang, Ujjwal Maulik
- Publisher
- John Wiley and Sons Inc, US
- Publication year
- 2010
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 047058159X
- ISBN 13
- 9780470581599
- Item weight
- 744 grams
This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers
- Chapters authored by leading researchers in CI in biology informatics.
- Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases.
- Supplementary material included: program code and relevant data sets correspond to chapters.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Ujjwal Maulik is Professor of Computer Science and Engineering at Jadavpur University (India). He is the editor or author of five books and coauthor of more than 150 articles. Dr. Maulik is a Senior Member of IEEE and also a Humboldt Fellow.
Dr. Sanghamitra Bandyopadhyay is Professor at the Indian Statistical Institute. She is the editor or author of six books and coauthor of more than 180 articles. Dr. Bandyopadhyay is a Senior Member of IEEE and also a Humboldt Fellow.
Dr. Jason T. L. Wang is a Professor and Director of the Data and Knowledge Engineering Lab at the New Jersey Institute of Technology. He is the editor or author of six books and Executive Editor of the World Scientific Book Series on Science, Engineering, and Biology Informatics.
"About the title" may belong to another edition of this title.
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