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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
Attention for Chapter 5: Microarray Data Analysis Using Fuzzy Clustering Algorithms
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Citations

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Chapter title
Microarray Data Analysis Using Fuzzy Clustering Algorithms
Chapter number 5
Book title
Fuzzy Systems in Bioinformatics and Computational Biology
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-540-89968-6_5
Book ISBNs
978-3-54-089967-9, 978-3-54-089968-6
Authors

Doulaye Dembélé, Dembélé, Doulaye

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Unknown 1 100%

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