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Analysis of biological data : a soft computing approach

Author: Sanghamitra Bandyopadhyay; Ujjwal Maulik; Jason T L Wang
Publisher: Singapore ; Hong Kong : World Scientific, ©2007.
Series: Science, engineering, and biology informatics, v. 3.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Bioinformatics, a field devoted to the interpretation and analysis of biological data using computational techniques, has evolved tremendously in recent years due to the explosive growth of biological information generated by the scientific community. Soft computing is a consortium of methodologies that work synergistically and provides, in one form or another, flexible information processing capabilities for  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Analysis of biological data.
Singapore ; Hackensack, NJ : World Scientific, ©2007
(OCoLC)166373573
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sanghamitra Bandyopadhyay; Ujjwal Maulik; Jason T L Wang
ISBN: 9789812708892 9812708898
OCLC Number: 646768109
Description: 1 online resource (xx, 332 pages) : illustrations
Contents: pt. I. Overview. ch. 1. Bioinformatics: mining the massive data from high throughput genomics experiments / Haixu Tang and Sun Kim. ch. 2. An introduction to soft computing / Amit Konar and Swagatam Das --
pt. II. Biological sequence and structure analysis. ch. 3. Reconstructing phylogenies with memetic algorithms and branch-and-bound / José E. Gallardo, Carlos Cotta and Antonio J. Fernández. ch. 4. Classification of RNA sequences with support vector machines / Jason T.L. Wang and Xiaoming Wu. ch. 5. Beyond string algorithms: protein sequence analysis using wavelet transforms / Arun Krishnan and Kuo-Bin Li. ch. 6. Filtering protein surface motifs using negative instances of active sites candidates / Nripendra L. Shrestha and Takenao Ohkawa. ch. 7. Distill: a machine learning approach to Ab Initio protein structure prediction / Gianluca Pollastri, Davide Baú and Alessandro Vullo. ch. 8. In silico design of ligands using properties of target active sites / Sanghamitra Bandyopadhyay [and others] --
pt. III. Gene expression and microarray data analysis. ch. 9. Inferring regulations in a genomic network from gene expression profiles. ch. 10. A reliable classification of gene clusters for cancer samples using a hybrid multi-objective evolutionary procedure / Kalyanmoy Deb, A. Raji Reddy and Shamik Chaudhuri. ch. 11. Feature selection for cancer classification using ant colony optimization and support vector machines / A. Gupta, V.K. Jayaraman and B.D. Kulkarni. ch. 12. Sophisticated methods for cancer classification using microarray data / Sung-Bae Cho and Han-Saem Park. ch. 13. Multiobjective evolutionary approach to fuzzy clustering of microarray data / Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay.
Series Title: Science, engineering, and biology informatics, v. 3.
Responsibility: editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang.

Abstract:

Aims to provide a treatise, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for  Read more...

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