Systems Evolutionary Biology
Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology
Paperback Engels 2018 9780128140727Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
Part II: Applications of Network Evolution to Systems Synthetic Biology5. Robust Design for Evolutionary Synthetic Gene Networks under Genetic Mutations and Environmental Disturbances: Genetic Algorithm (GA) Approach in Genotype Space6. Robust Design of Genetic Networks: Evolutionary Systems Biology Approach via Evolutionary Algorithm (EA) in Phenotype space7. On the Adaptive Design Rules of Biochemical Networks in Evolution
Part III: Stochastic Evolutionary Game Strategies8. Stochastic Evolutionary Game as Natural Selection in a Population of Biological Networks9. Stochastic Noncooperative and Cooperative Evolutionary Game Strategies of a Population of Biological Networks under Natural Selection10. Evolutionary Game Strategy of Evolutionary Biological Network of Somatic Cells in the Organ Carcinogenesis and Aging Process
Part IV: Evolution Measurements of Biological Networks11. On the System Entropy of Nonlinear Stochastic Biological Networks and Its Relationship to Network Evolution12. On the Evolution Measurement of Somatic Networksby the Changes of their Robustness and Response Ability in the Aging Process via Microarray Data
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