Evolutionary Computation in Gene Regulatory Network Research
by Nasimul Noman, Hitoshi Iba
Evolutionary Computation in Gene Regulatory Network Research
- PREFACE
- ACKNOWLEDGMENTS
- CONTRIBUTORS
- I PRELIMINARIES
- II EAs FOR GENE EXPRESSION DATA ANALYSIS AND GRN RECONSTRUCTION
- CHAPTER 4 BICLUSTERING ANALYSIS OF GENE EXPRESSION DATA USING EVOLUTIONARY ALGORITHMS
- CHAPTER 5 INFERENCE OF VOHRADSKÝ’S MODELS OF GENETIC NETWORKS USING A REAL-CODED GENETIC ALGORITHM
- CHAPTER 6 GPU-POWERED EVOLUTIONARY DESIGN OF MASS-ACTION-BASED MODELS OF GENE REGULATION
- CHAPTER 7 MODELING DYNAMIC GENE EXPRESSION IN STREPTOMYCES COELICOLOR: COMPARING SINGLE AND MULTI-OBJECTIVE SETUPS
- CHAPTER 8 RECONSTRUCTION OF LARGE-SCALE GENE REGULATORY NETWORK USING S-SYSTEM MODEL
- III EAs FOR EVOLVING GRNs AND REACTION NETWORKS
- CHAPTER 9 DESIGN AUTOMATION OF NUCLEIC ACID REACTION SYSTEM SIMULATED BY CHEMICAL KINETICS BASED ON GRAPH REWRITING MODEL
- CHAPTER 10 USING EVOLUTIONARY ALGORITHMS TO STUDY THE EVOLUTION OF GENE REGULATORY NETWORKS CONTROLLING BIOLOGICAL DEVELOPMENT
- CHAPTER 11 EVOLVING GRN-INSPIRED IN VITRO OSCILLATORY SYSTEMS
- IV APPLICATION OF GRN WITH EAs
- INDEX
- SERIES
- EULA
EVOLUTIONARY COMPUTATION IN GENE REGULATORY NETWORK RESEARCH
Edited by
Hitoshi Iba
The University of Tokyo
Bunkyo, Tokyo, Japan
Nasimul Noman
The University of Newcastle
New South Wales, Australia
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