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Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, Band 242) - Yaochu Jin, Lipo Wang
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Yaochu Jin, Lipo Wang:

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, Band 242) - Paperback

2010, ISBN: 3642100686

Taschenbuch, [EAN: 9783642100680], Springer, Springer, Book, [PU: Springer], 2010-10-21, Springer, Biological systems are inherently stochastic and uncertain. Thus, research in bioinforma… More...

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Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, Band 242) - Yaochu Jin, Lipo Wang
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Yaochu Jin, Lipo Wang:

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, Band 242) - Paperback

2010, ISBN: 3642100686

Taschenbuch, [EAN: 9783642100680], Springer, Springer, Book, [PU: Springer], 2010-10-21, Springer, Biological systems are inherently stochastic and uncertain. Thus, research in bioinforma… More...

Neuware. Shipping costs:Innerhalb EU, Schweiz und Liechtenstein (sofern Lieferung möglich). Versandfertig in 4 - 5 Werktagen. Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 3.00) averdo24
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Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing) - Yaochu Jin, Lipo Wang
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Yaochu Jin, Lipo Wang:
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing) - Paperback

ISBN: 3642100686

Paperback, [EAN: 9783642100680], Springer, Springer, Book, [PU: Springer], Springer, Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedic… More...

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Fuzzy Systems in Bioinformatics and Computational Biology - Jin, Yaochu (Herausgeber); Wang, Lipo (Herausgeber)
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Jin, Yaochu (Herausgeber); Wang, Lipo (Herausgeber):
Fuzzy Systems in Bioinformatics and Computational Biology - Paperback

2010, ISBN: 3642100686

Hardcover

Softcover reprint of hardcover 1st ed. 2009 Kartoniert / Broschiert Mathematik für Ingenieure, Computer-Aided Design (CAD), Künstliche Intelligenz, Cognition; Construction; fuzzy logic;… More...

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Fuzzy Systems in Bioinformatics and Computational Biology - Wang, Lipo (Herausgeber); Jin, Yaochu (Herausgeber)
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Wang, Lipo (Herausgeber); Jin, Yaochu (Herausgeber):
Fuzzy Systems in Bioinformatics and Computational Biology - Paperback

2010, ISBN: 3642100686

Hardcover

Softcover reprint of hardcover 1st ed. 2009 Kartoniert / Broschiert Computer-Aided Design (CAD), Künstliche Intelligenz, Cognition; Construction; fuzzylogic; fuzzysystem; geneandpromote… More...

Shipping costs:Geen versendingskosten in Duitsland. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien

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Details of the book
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, Band 242)

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

Details of the book - Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, Band 242)


EAN (ISBN-13): 9783642100680
ISBN (ISBN-10): 3642100686
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
348 Pages
Weight: 0,590 kg
Language: eng/Englisch

Book in our database since 2011-08-19T02:55:15+01:00 (London)
Detail page last modified on 2024-02-24T04:16:42+00:00 (London)
ISBN/EAN: 9783642100680

ISBN - alternate spelling:
3-642-10068-6, 978-3-642-10068-0
Alternate spelling and related search-keywords:
Book author: jin, yao
Book title: systems biology


Information from Publisher

Author: Yaochu Jin; Lipo Wang
Title: Studies in Fuzziness and Soft Computing; Fuzzy Systems in Bioinformatics and Computational Biology
Publisher: Springer; Springer Berlin
332 Pages
Publishing year: 2010-10-21
Berlin; Heidelberg; DE
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 332 p. 118 illus., 11 illus. in color.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Computer-Aided Design (CAD); Verstehen; bioinformatics; cognition; construction; fuzzy logic; fuzzy system; gene and promoter prediction; gene expression analysis; image processing; image segmentation; miroarray analysis; model; modeling; pairwise and multiple sequence alignment; phylogenetic analysis; protein and RNA structure prediction; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering Applications; Artificial Intelligence; Mathematik für Ingenieure; Künstliche Intelligenz; BB; EA; BA

Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics.- Fuzzy Genome Sequence Assembly for Single and Environmental Genomes.- A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes.- Fuzzy Vector Filters for cDNA Microarray Image Processing.- Microarray Data Analysis Using Fuzzy Clustering Algorithms.- Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data.- Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification.- Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic.- Fuzzy System Methods in Modeling Gene Expression and Analyzing Protein Networks.- Evolving a Fuzzy Rulebase to Model Gene Expression.- Infer Genetic/Transcriptional Regulatory Networks by Recognition of Microarray Gene Expression Patterns Using Adaptive Neuro-Fuzzy Inference Systems.- Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology.- Fuzzy C-Means Techniques for Medical Image Segmentation.- Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure.- Interval Type-2 Fuzzy System for ECG Arrhythmic Classification.- Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks.
Presents the latest trends in bioinformatics, bioengineering and computational biology Includes supplementary material: sn.pub/extras

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