Pub. Date:
Springer Berlin Heidelberg
Fuzzy Systems in Bioinformatics and Computational Biology / Edition 1

Fuzzy Systems in Bioinformatics and Computational Biology / Edition 1

by Yaochu Jin, Lipo Wang


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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 dataclassification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

Product Details

ISBN-13: 9783540899679
Publisher: Springer Berlin Heidelberg
Publication date: 04/07/2009
Series: Studies in Fuzziness and Soft Computing , #242
Edition description: 2009
Pages: 332
Product dimensions: 6.30(w) x 9.40(h) x 1.10(d)

Table of Contents

1 Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics Filippo Menolascina Vitoantonio Bevilacqua Mariadele Zarrilli Giuseppe Mastronardi 1

2 Fuzzy Genome Sequence Assembly for Single and Environmental Genomes Sara Nasser Adrienne Breland Frederick C. Harris Monica Nicolescu Gregory L. Vert 19

3 A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes Oscar Harari Luis Herrera Igor Zwir 45

4 Fuzzy Vector Filters for cDNA Microarray Image Processing Rastislav Lukac Konstantinos N. Plataniotis 67

5 Microarray Data Analysis Using Fuzzy Clustering Algorithms Doulaye Dembélé 83

6 Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data Daniel Glez-Peña Fernando Díaz Florentino Fdez-Riverola José R. Méndez Juan M. Corchado 103

7 Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification Gerald Schaefer Tomoharu Nakashima Hisao Ishibuchi 127

8 Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic Guy N. Brock Vasyl Pihur Laura Kubatko 141

9 Fuzzy System Methods in Modeling Gene Expression and Analyzing Protein Networks Shihua Zhang Rui-Sheng Wang Xiang-Sun Zhang Luonan Chen 165

10 Evolving a Fuzzy Rulebase to Model Gene Expression Ricardo Linden Amit Bhaya 191

11 Infer Genetic/Transcriptional Regulatory Networks by Recognition of Microarray Gene Expression Patterns Using Adaptive Neuro-Fuzzy Inference Systems Cheng-Long Chuang Chung-Ming Chen Joe-Air Jiang 217

12 Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology Bahrad A. Sokhansanj Suman Datta Xiaohua Hu 235

13 Fuzzy C-Means Techniques for Medical Image Segmentation Huiyu Zhou GeraldSchaefer Chunmei Shi 257

14 Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure J.S. Shieh M.F. Abbod C.Y. Hsu S.J. Huang Y.Y. Han S.Z. Fan 273

15 Interval Type-2 Fuzzy System for ECG Arrhythmic Classification Teck Wee Chua Woei Wan Tan 297

16 Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks Yaochu Jin Bernhard Sendhoff 315

Index 329

Author Index 331

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