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Applications Of Fuzzy Logic In Bioinformatics

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Title: Applications Of Fuzzy Logic In Bioinformatics
Description: Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
Authors: Dong Xu, James M Keller, Rajkumar Bondugula, Mihail Popescu
Resource Type: eBook.
Subjects: Fuzzy sets, Fuzzy logic, Bioinformatics, Computational biology
Categories: SCIENCE / Life Sciences / Molecular Biology, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Logic Design
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 516759
RelevancyScore: 1018
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PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1018.08020019531
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  Data: Applications Of Fuzzy Logic In Bioinformatics
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  Label: Description
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  Data: Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dong+Xu%22">Dong Xu</searchLink><br /><searchLink fieldCode="AR" term="%22James+M+Keller%22">James M Keller</searchLink><br /><searchLink fieldCode="AR" term="%22Rajkumar+Bondugula%22">Rajkumar Bondugula</searchLink><br /><searchLink fieldCode="AR" term="%22Mihail+Popescu%22">Mihail Popescu</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+biology%22">Computational biology</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 572.80285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Fuzzy sets
        Type: general
      – SubjectFull: Fuzzy logic
        Type: general
      – SubjectFull: Bioinformatics
        Type: general
      – SubjectFull: Computational biology
        Type: general
    Titles:
      – TitleFull: Applications Of Fuzzy Logic In Bioinformatics
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dong Xu
      – PersonEntity:
          Name:
            NameFull: James M Keller
      – PersonEntity:
          Name:
            NameFull: Rajkumar Bondugula
      – PersonEntity:
          Name:
            NameFull: Mihail Popescu
      – PersonEntity:
          Name:
            NameFull: Dong Xu
      – PersonEntity:
          Name:
            NameFull: James M Keller
      – PersonEntity:
          Name:
            NameFull: Rajkumar Bondugula
      – PersonEntity:
          Name:
            NameFull: Mihail Popescu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2008
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781848162587
            – Type: isbn-electronic
              Value: 9781848162594
          Numbering:
            – Type: volume
              Value: 00009
          Titles:
            – TitleFull: Applications Of Fuzzy Logic In Bioinformatics
              Type: main
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