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Herausgeber: 
  • Lipo Wang
  • Yaochu Jin
  • Fuzzy Systems in Bioinformatics and Computational Biology 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2010  
    Genre:  EDV / Informatik 
     
    Applied mathematics / Artificial Intelligence / C / Computer-aided engineering / Computer-Aided Engineering (CAD, CAE) and Design / engineering / Engineering mathematics / Künstliche Intelligenz
    ISBN:  9783642100680 
    EAN-Code: 
    9783642100680 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #242 - Studies in Fuzziness and Soft Computing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  534 gr 
    Seiten:  332 
    Illustration:  XVI, 332 p. 118 illus., 11 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 bioinformstics, biomedical engineering and computational biology.

      



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