
- 248 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Applications Of Fuzzy Logic In Bioinformatics
About this book
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.
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Yes, you can access Applications Of Fuzzy Logic In Bioinformatics by Dong Xu, James M Keller, Rajkumar Bondugula in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Contents
- Foreword
- Preface
- 1. Introduction to Bioinformatics
- 2. Introduction to Fuzzy Set Theory and Fuzzy Logic
- 3. Fuzzy Similarities in Ontologies.
- 4. Fuzzy Logic in Structural Bioinformatics
- 5. Application of Fuzzy Logic in Microarray Data Analyses.
- 6. Other Applications.
- 7. Summary and Outlook
- Appendix I. Fundamental Biological Concepts
- Appendix II. Online Resources.
- Bibliography
- Index