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Buchcover - Computational Intelligence and Pattern Analysis in Biology Informatics - ISBN 978-0-470-87234-5
„This collection of 16 papers, edited by Maulik (computer science and engineering, Jadavpur U., India), Bandyopadhyay (Indian Statistical Institute, India), and Wang (data and knowledge engineering, New Jersey Institute of Technology, US), brings together contributions from practitioners integrating computational intelligence and pattern analysis techniques for analyzing biological data, including sequence, structure, and microarray data. The material is organized into five sections that explore basic principles and methodologies of computational techniques, applications of computational intelligence and pattern analysis for biological sequence analysis, structural analysis; microarray data analysis, and systems biology.“ (Reference and Research Book News, February 2011)
Computational Intelligence and Pattern Analysis in Biology Informatics
von Ujjwal Maulik, Sanghamitra Bandyopadhyay und Jason T. WangAn invaluable tool in Bioinformatics, this unique volume providesboth theoretical and experimental results, and describes basicprinciples of computational intelligence and pattern analysis whiledeepening the reader's understanding of the ways in which theseprinciples can be used for analyzing biological data in anefficient manner.
This book synthesizes current research in the integration ofcomputational intelligence and pattern analysis techniques, eitherindividually or in a hybridized manner. The purpose is to analyzebiological data and enable extraction of more meaningfulinformation and insight from it. Biological data for analysisinclude sequence data, secondary and tertiary structure data, andmicroarray data. These data types are complex and advanced methodsare required, including the use of domain-specific knowledge forreducing search space, dealing with uncertainty, partial truth andimprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased leveland intelligence of interactivity with human experts and decisionmakers
* Chapters authored by leading researchers in CI in biologyinformatics.
* Covers highly relevant topics: rational drug design; analysisof microRNAs and their involvement in human diseases.
* Supplementary material included: program code and relevant datasets correspond to chapters.
This book synthesizes current research in the integration ofcomputational intelligence and pattern analysis techniques, eitherindividually or in a hybridized manner. The purpose is to analyzebiological data and enable extraction of more meaningfulinformation and insight from it. Biological data for analysisinclude sequence data, secondary and tertiary structure data, andmicroarray data. These data types are complex and advanced methodsare required, including the use of domain-specific knowledge forreducing search space, dealing with uncertainty, partial truth andimprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased leveland intelligence of interactivity with human experts and decisionmakers
* Chapters authored by leading researchers in CI in biologyinformatics.
* Covers highly relevant topics: rational drug design; analysisof microRNAs and their involvement in human diseases.
* Supplementary material included: program code and relevant datasets correspond to chapters.
