Verfügbarkeit: Analysis of biological data :

Analysis of biological data :: a soft computing approach /

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...

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Weitere Verfasser:	Bandyopadhyay, Sanghamitra, 1968- (HerausgeberIn), Maulik, Ujjwal (HerausgeberIn), Wang, Jason T. L. (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New Jersey : World Scientific, [2007]
Schriftenreihe:	Science, engineering, and biology informatics ; v. 3.
Schlagworte:	Bioinformatics. Soft computing. Computational biology. Artificial intelligence. Computational Biology Artificial Intelligence Bio-informatique. Informatique douce. Intelligence artificielle. artificial intelligence. COMPUTERS > Bioinformatics. Bioinformatics Soft computing Methods (Music)
Online-Zugang:	Volltext
Zusammenfassung:	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 handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however,
Beschreibung:	1 online resource (xx, 332 pages) : illustrations (some color).
Bibliographie:	Includes bibliographical references and index.
ISBN:	9789812708892 9812708898

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504			\|a Includes bibliographical references and index.
505	0		\|a 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.
520			\|a 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 handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however,
588	0		\|a Online resource; title from PDF title page (ProQuest Ebook Central, viewed March 17, 2021).
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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.
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genre	Methods (Music) fast
genre_facet	Methods (Music)
id	ZDB-4-EBA-ocn646768109
illustrated	Illustrated
indexdate	2024-11-27T13:17:17Z
institution	BVB
isbn	9789812708892 9812708898
language	English
oclc_num	646768109
open_access_boolean
owner	MAIN DE-863 DE-BY-FWS
owner_facet	MAIN DE-863 DE-BY-FWS
physical	1 online resource (xx, 332 pages) : illustrations (some color).
psigel	ZDB-4-EBA
publishDate	2007
publishDateSearch	2007
publishDateSort	2007
publisher	World Scientific,
record_format	marc
series	Science, engineering, and biology informatics ;
series2	Science, engineering, and biology informatics ;
spelling	Analysis of biological data : a soft computing approach / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang. New Jersey : World Scientific, [2007] 1 online resource (xx, 332 pages) : illustrations (some color). text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Science, engineering, and biology informatics ; v. 3 Includes bibliographical references and index. 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. 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 handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however, Online resource; title from PDF title page (ProQuest Ebook Central, viewed March 17, 2021). Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Soft computing. http://id.loc.gov/authorities/subjects/sh96004789 Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Computational Biology Artificial Intelligence Bio-informatique. Informatique douce. Intelligence artificielle. artificial intelligence. aat COMPUTERS Bioinformatics. bisacsh Bioinformatics fast Soft computing fast Methods (Music) fast Bandyopadhyay, Sanghamitra, 1968- editor. Maulik, Ujjwal, editor. Wang, Jason T. L., editor. has work: Analysis of biological data (Text) https://id.oclc.org/worldcat/entity/E39PCFwK7HDHqVrpDyKXxxtkDq https://id.oclc.org/worldcat/ontology/hasWork Print version: Analysis of biological data. Singapore ; Hackensack, NJ : World Scientific, ©2007 9789812707802 9812707808 (OCoLC)166373573 Science, engineering, and biology informatics ; v. 3. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235950 Volltext
spellingShingle	Analysis of biological data : a soft computing approach / Science, engineering, and biology informatics ; 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. Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Soft computing. http://id.loc.gov/authorities/subjects/sh96004789 Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Computational Biology Artificial Intelligence Bio-informatique. Informatique douce. Intelligence artificielle. artificial intelligence. aat COMPUTERS Bioinformatics. bisacsh Bioinformatics fast Soft computing fast
subject_GND	http://id.loc.gov/authorities/subjects/sh00003585 http://id.loc.gov/authorities/subjects/sh96004789 http://id.loc.gov/authorities/subjects/sh2003008355 http://id.loc.gov/authorities/subjects/sh85008180
title	Analysis of biological data : a soft computing approach /
title_auth	Analysis of biological data : a soft computing approach /
title_exact_search	Analysis of biological data : a soft computing approach /
title_full	Analysis of biological data : a soft computing approach / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang.
title_fullStr	Analysis of biological data : a soft computing approach / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang.
title_full_unstemmed	Analysis of biological data : a soft computing approach / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang.
title_short	Analysis of biological data :
title_sort	analysis of biological data a soft computing approach
title_sub	a soft computing approach /
topic	Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Soft computing. http://id.loc.gov/authorities/subjects/sh96004789 Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Computational Biology Artificial Intelligence Bio-informatique. Informatique douce. Intelligence artificielle. artificial intelligence. aat COMPUTERS Bioinformatics. bisacsh Bioinformatics fast Soft computing fast
topic_facet	Bioinformatics. Soft computing. Computational biology. Artificial intelligence. Computational Biology Artificial Intelligence Bio-informatique. Informatique douce. Intelligence artificielle. artificial intelligence. COMPUTERS Bioinformatics. Bioinformatics Soft computing Methods (Music)
url	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235950
work_keys_str_mv	AT bandyopadhyaysanghamitra analysisofbiologicaldataasoftcomputingapproach AT maulikujjwal analysisofbiologicaldataasoftcomputingapproach AT wangjasontl analysisofbiologicaldataasoftcomputingapproach

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