Description

Book Synopsis
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.

Table of Contents
Introduction to Bioinformatics; Introduction to Fuzzy Set Theory and Fuzzy Logic; Fuzzy Similarities in Ontologies; Fuzzy Logic in Structural Bioinformatics; Microarray Data Analysis; Other Applications; Summary; Fundamental Biological Concepts; Online Resources.

Applications Of Fuzzy Logic In Bioinformatics

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    A Hardback by Dong Xu, James M Keller, Rajkumar Bondugula

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      View other formats and editions of Applications Of Fuzzy Logic In Bioinformatics by Dong Xu

      Publisher: Imperial College Press
      Publication Date: Publication Date: 13/08/2008
      ISBN13: 9781848162587, 978-1848162587
      ISBN10: 1848162588

      Description

      Book Synopsis
      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.

      Table of Contents
      Introduction to Bioinformatics; Introduction to Fuzzy Set Theory and Fuzzy Logic; Fuzzy Similarities in Ontologies; Fuzzy Logic in Structural Bioinformatics; Microarray Data Analysis; Other Applications; Summary; Fundamental Biological Concepts; Online Resources.

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