Description

Book Synopsis
Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC).

Table of Contents

Preface ix

Acknowledgments xiii

Contributors xv

I Preliminaries

1 A Brief Introduction to Evolutionary and other Nature-Inspired Algorithms 3
Nasimul Noman and Hitoshi Iba

2 Mathematical Models and Computational Methods for Inference of Genetic Networks 30
Tatsuya Akutsu

3 Gene Regulatory Networks: Real Data Sources and Their Analysis 49
Yuji Zhang

II EAs for Gene Expression Data Analysis and GRN Reconstruction

4 Biclustering Analysis of Gene Expression Data Using Evolutionary Algorithms 69
Alan Wee-Chung Liew

5 Inference of Vohradský’s Models of Genetic Networks Using a Real-Coded Genetic Algorithm 96
Shuhei Kimura

6 GPU-Powered Evolutionary Design of Mass-Action-Based Models of Gene Regulation 118
Marco S. Nobile, Davide Cipolla, Paolo Cazzaniga and Daniela Besozzi

7 Modeling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups 151
Spencer Angus Thomas, Yaochu Jin, Emma Laing and Colin Smith

8 Reconstruction of Large-Scale Gene Regulatory Network Using S-system Model 185
Ahsan Raja Chowdhury and Madhu Chetty

III EAs for Evolving GRNs and Reaction Networks

9 Design Automation of Nucleic Acid Reaction System Simulated by Chemical Kinetics Based on Graph Rewriting Model 213
Ibuki Kawamata and Masami Hagiya

10 Using Evolutionary Algorithms to Study the Evolution of Gene Regulatory Networks Controlling Biological Development 240
Alexander Spirov and David Holloway

11 Evolving GRN-inspired In Vitro Oscillatory Systems 269
Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Hitoshi Iba and Yannic Rondelez

IV Application of GRN with EAs

12 Artificial Gene Regulatory Networks for Agent Control 301
Sylvain Cussat-Blanc, Jean Disset, Stéphane Sanchez and Yves Duthen

13 Evolving H-GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots 327
Hyondong Oh and Yaochu Jin

14 Regulatory Representations in Architectural Design 362
Daniel Richards and Martyn Amos

15 Computing with Artificial Gene Regulatory Networks 398
Michael A. Lones

Index 425

Evolutionary Computation in Gene Regulatory

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    A Hardback by Hitoshi Iba, Nasimul Noman, Yi Pan

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      Publisher: John Wiley & Sons Inc
      Publication Date: 29/03/2016
      ISBN13: 9781118911518, 978-1118911518
      ISBN10: 1118911512
      Also in:
      Computer science

      Description

      Book Synopsis
      Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC).

      Table of Contents

      Preface ix

      Acknowledgments xiii

      Contributors xv

      I Preliminaries

      1 A Brief Introduction to Evolutionary and other Nature-Inspired Algorithms 3
      Nasimul Noman and Hitoshi Iba

      2 Mathematical Models and Computational Methods for Inference of Genetic Networks 30
      Tatsuya Akutsu

      3 Gene Regulatory Networks: Real Data Sources and Their Analysis 49
      Yuji Zhang

      II EAs for Gene Expression Data Analysis and GRN Reconstruction

      4 Biclustering Analysis of Gene Expression Data Using Evolutionary Algorithms 69
      Alan Wee-Chung Liew

      5 Inference of Vohradský’s Models of Genetic Networks Using a Real-Coded Genetic Algorithm 96
      Shuhei Kimura

      6 GPU-Powered Evolutionary Design of Mass-Action-Based Models of Gene Regulation 118
      Marco S. Nobile, Davide Cipolla, Paolo Cazzaniga and Daniela Besozzi

      7 Modeling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups 151
      Spencer Angus Thomas, Yaochu Jin, Emma Laing and Colin Smith

      8 Reconstruction of Large-Scale Gene Regulatory Network Using S-system Model 185
      Ahsan Raja Chowdhury and Madhu Chetty

      III EAs for Evolving GRNs and Reaction Networks

      9 Design Automation of Nucleic Acid Reaction System Simulated by Chemical Kinetics Based on Graph Rewriting Model 213
      Ibuki Kawamata and Masami Hagiya

      10 Using Evolutionary Algorithms to Study the Evolution of Gene Regulatory Networks Controlling Biological Development 240
      Alexander Spirov and David Holloway

      11 Evolving GRN-inspired In Vitro Oscillatory Systems 269
      Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Hitoshi Iba and Yannic Rondelez

      IV Application of GRN with EAs

      12 Artificial Gene Regulatory Networks for Agent Control 301
      Sylvain Cussat-Blanc, Jean Disset, Stéphane Sanchez and Yves Duthen

      13 Evolving H-GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots 327
      Hyondong Oh and Yaochu Jin

      14 Regulatory Representations in Architectural Design 362
      Daniel Richards and Martyn Amos

      15 Computing with Artificial Gene Regulatory Networks 398
      Michael A. Lones

      Index 425

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