BookBor-Sen Chen.
Summary: Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience.
Contents:
Part I: General Theory of Stochastic Evolutionary Biological Network
1. Introduction to Systems Evolutionary Biology
2. Stochastic Dynamics Systems and Stochastic Nash Game in Evolutionary Biological Networks
3. Evolutionary Gene Regulatory Networks and Biochemical Networks
4. Evolutionary Ecological Networks
Part II: Applications of Network Evolution to Systems Synthetic Biology
5. Robust Design for Evolutionary Synthetic Gene Networks under Genetic Mutations and Environmental Disturbances: Genetic Algorithm (GA) Approach in Genotype Space
6. Robust Design of Genetic Networks: Evolutionary Systems Biology Approach via Evolutionary Algorithm (EA) in Phenotype space
7. On the Adaptive Design Rules of Biochemical Networks in Evolution
Part III: Stochastic Evolutionary Game Strategies
8. Stochastic Evolutionary Game as Natural Selection in a Population of Biological Networks
9. Stochastic Noncooperative and Cooperative Evolutionary Game Strategies of a Population of Biological Networks under Natural Selection
10. Evolutionary Game Strategy of Evolutionary Biological Network of Somatic Cells in the Organ Carcinogenesis and Aging Process
Part IV: Evolution Measurements of Biological Networks
11. On the System Entropy of Nonlinear Stochastic Biological Networks and Its Relationship to Network Evolution
12. On the Evolution Measurement of Somatic Networks by the Changes of their Robustness and Response Ability in the Aging Process via Microarray Data
13. Evoluation of Network Biomarkers Measured by Microarray Data from Early to Late Stage Bladder Cancer Samples.