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Fuzzy Systems in Bioinformatics and Computational Biology

  • Yaochu Jin
  • Lipo Wang

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 242)

Table of contents

  1. Front Matter
  2. Filippo Menolascina, Vitoantonio Bevilacqua, Mariadele Zarrilli, Giuseppe Mastronardi
    Pages 1-17
  3. Sara Nasser, Adrienne Breland, Frederick C. Harris Jr., Monica Nicolescu, Gregory L. Vert
    Pages 19-44
  4. Oscar Harari, Luis Herrera, Igor Zwir
    Pages 45-65
  5. Rastislav Lukac, Konstantinos N. Plataniotis
    Pages 67-82
  6. Daniel Glez-Peña, Fernando Díaz, Florentino Fdez-Riverola, José R. Méndez, Juan M. Corchado
    Pages 103-125
  7. Gerald Schaefer, Tomoharu Nakashima, Hisao Ishibuchi
    Pages 127-140
  8. Guy N. Brock, Vasyl Pihur, Laura Kubatko
    Pages 141-163
  9. Shihua Zhang, Rui-Sheng Wang, Xiang-Sun Zhang, Luonan Chen
    Pages 165-189
  10. Ricardo Linden, Amit Bhaya
    Pages 191-215
  11. Bahrad A. Sokhansanj, Suman Datta, Xiaohua Hu
    Pages 235-255
  12. Huiyu Zhou, Gerald Schaefer, Chunmei Shi
    Pages 257-271
  13. J. S. Shieh, M. F. Abbod, C. Y. Hsu, S. J. Huang, Y. Y. Han, S. Z. Fan
    Pages 273-295
  14. Teck Wee Chua, Woei Wan Tan
    Pages 297-314
  15. Back Matter

About this book

Introduction

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.

Keywords

bioinformatics cognition construction fuzzy logic fuzzy system gene and promoter prediction gene expression analysis image processing image segmentation miroarray analysis model modeling pairwise and multiple sequence alignment phylogenetic analysis protein and RNA structure prediction

Editors and affiliations

  • Yaochu Jin
    • 1
  • Lipo Wang
    • 2
  1. 1.Honda Research Institute Honda Research Institute Europe OffenbachGermany
  2. 2.Nanyang Technological UniversitySingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-89968-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-89967-9
  • Online ISBN 978-3-540-89968-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site