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Fuzzy Systems in Bioinformatics and Computational Biology

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Cover of 'Fuzzy Systems in Bioinformatics and Computational Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics
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    Chapter 2 Fuzzy Genome Sequence Assembly for Single and Environmental Genomes
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    Chapter 3 A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes
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    Chapter 4 Fuzzy Vector Filters for cDNA Microarray Image Processing
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    Chapter 5 Microarray Data Analysis Using Fuzzy Clustering Algorithms
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    Chapter 6 Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data
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    Chapter 7 Fuzzy Systems in Bioinformatics and Computational Biology
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    Chapter 8 Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic
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    Chapter 9 Fuzzy System Methods in Modeling Gene Expression and Analyzing Protein Networks
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    Chapter 10 Evolving a Fuzzy Rulebase to Model Gene Expression
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    Chapter 11 Infer Genetic/Transcriptional Regulatory Networks by Recognition of Microarray Gene Expression Patterns Using Adaptive Neuro-Fuzzy Inference Systems
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    Chapter 12 Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology
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    Chapter 13 Fuzzy C-Means Techniques for Medical Image Segmentation
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    Chapter 14 Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure
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    Chapter 15 Interval Type-2 Fuzzy System for ECG Arrhythmic Classification
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    Chapter 16 Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks
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Title
Fuzzy Systems in Bioinformatics and Computational Biology
Published by
Theory and Practice, April 2009
DOI 10.1007/978-3-540-89968-6
ISBNs
978-3-54-089967-9, 978-3-54-089968-6
Editors

Jin, Yaochu, Wang, Lipo

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Sweden 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 40%
Student > Master 3 12%
Professor 3 12%
Professor > Associate Professor 2 8%
Student > Postgraduate 2 8%
Other 4 16%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 32%
Engineering 4 16%
Computer Science 3 12%
Unspecified 2 8%
Mathematics 2 8%
Other 5 20%
Unknown 1 4%