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Applications of Fuzzy Logic in Bioinformatics
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Applications of Fuzzy Logic in Bioinformatics
Product 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.
Contents: Introduction to Bioinformatics; Introduction to Fuzzy Set Theory and Fuzzy Logic; Fuzzy Similarities in Ontologies; Fuzzy Logic in Structural Bioinformatics; Application of Fuzzy Logic in Microarray Data Analyses; Other Applications; Summary and Outlook.
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- Bioinformatics: Volume II: Structure, Function and Applications
- Fuzzy Systems in Bioinformatics and Computational Biology
- Computational Systems Bioinformatics: Csb2007 Conference Proceedings
- Computational Systems Bioinformatics
- Computational Systems Bioinformatics
- Bioinformatics: Volume I: Data, Sequence Analysis and Evolution
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- Theory and Mathematical Methods in Bioinformatics
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- Introduction to Fuzzy Logic Using Matlab
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