Computational Intelligence in Bioinformatics

Copyright © 2008 the Institute of Electrical and Electronics Engineers, Inc.

Computational Intelligence in Bioinformatics

Editor(s): Gary B. Fogel, David W. Corne, Yi Pan

Published Online: 14 MAY 2007

Print ISBN: 9780470105269

Online ISBN: 9780470199091

DOI: 10.1002/9780470199091

Series Editor(s): David B. Fogel

About this Book

Product Information

About The Product

Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers' research.

Table of contents

    1. You have free access to this content
      Frontmatter (pages i–xix)

  2. Part One: Gene Expression Analysis and Systems Biology

    1. Chapter 1

      Hybrid of Neural Classifier and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (pages 1–20)

      Rui Xu, Georgios C. Anagnostopoulos and Donald C. Wunsch

    2. Chapter 2

      Classifying Gene Expression Profiles with Evolutionary Computation (pages 21–40)

      Jin-Hyuk Hong and Sung-Bae Cho

    3. Chapter 3

      Finding Clusters in Gene Expression Data Using EvoCluster (pages 41–66)

      Patrick C. H. Ma, Keith C. C. Chan and Xin Yao

    4. Chapter 4

      Gene Networks and Evolutionary Computation (pages 67–96)

      Jennifer Hallinan

  3. Part Two: Sequence Analysis and Feature Detection

    1. Chapter 5

      Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data (pages 97–115)

      Yuanchen He, Yuchun Tang, Yan-Qing Zhang and Rajshekhar Sunderraman

    2. Chapter 6

      Evolutionary Feature Selection for Bioinformatics (pages 117–139)

      Laetitia Jourdan, Clarisse Dhaenens and El-Ghazali Talbi

    3. Chapter 7

      Fuzzy Approaches for the Analysis CpG Island Methylation Patterns (pages 141–165)

      Ozy Sjahputera, Mihail Popescu, James M. Keller and Charles W. Caldwell

  4. Part Three: Molecular Structure and Phylogenetics

    1. Chapter 8

      Protein–Ligand Docking with Evolutionary Algorithms (pages 167–195)

      René Thomsen

    2. Chapter 9

      RNA Secondary Structure Prediction Employing Evolutionary Algorithms (pages 197–223)

      Kay C. Wiese, Alain A. Deschênes and Andrew G. Hendriks

    3. Chapter 10

      Machine Learning Approach for Prediction of Human Mitochondrial Proteins (pages 225–236)

      Zhong Huang, Xuheng Xu and Xiaohua Hu

    4. Chapter 11

      Phylogenetic Inference Using Evolutionary Algorithms (pages 237–262)

      Clare Bates Congdon

  5. Part Four: Medicine

    1. Chapter 12

      Evolutionary Algorithms for Cancer Chemotherapy Optimization (pages 263–296)

      John McCall, Andrei Petrovski and Siddhartha Shakya

    2. Chapter 13

      Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts (pages 297–339)

      Lipika Dey and Muhammad Abulaish

    1. You have free access to this content
      Index (pages 341–355)

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