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Systems evolutionary biology : biological network evolution theory, stochastic evolutionary game strategies, and applications to systems synthetic biology /

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 environmenta...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chen, Bor-Sen (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, an imprint of Elsevier, [2018]
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Systems evolutionary biology :  |b biological network evolution theory, stochastic evolutionary game strategies, and applications to systems synthetic biology /  |c Bor-Sen Chen. 
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505 0 |a Intro; Title page; Table of Contents; Copyright; Dedication; Preface; Part I: General Theory of Stochastic Evolutionary Biological Network; Chapter 1: Introduction to Systems Evolutionary Biology; Abstract; 1.1 Introduction to Evolutionary Biology; 1.2 Review of Current Systems Biology and Evolutionary Theory; 1.3 Systems Evolutionary Biology as a Powerful Combination of Evolutionary Genetics With Systems Biology; 1.4 The Scope of the Book; Chapter 2: Stochastic Dynamics Systems and Stochastic Nash Game in Evolutionary Biological Networks; Abstract. 
505 8 |a 2.1 Introduction to the Robust Stability of Stochastic Dynamic Systems2.2 Evolutionary Computation Algorithms; 2.3 Stochastic Nash Evolutionary Game in Stochastic Biological Systems; 2.4 Conclusion; 2.5 Appendix; Chapter 3: Evolutionary Gene Regulatory Networks and Biochemical Networks; Abstract; 3.1 Introduction to Evolutionary Biological Systems; 3.2 On the Interplay Between the Evolvability and Network Robustness of the Linear Stochastic Gene Regulatory Network. 
505 8 |a 3.3 On the Interplay Between the Network Evolvability and Network Robustness of a Nonlinear Stochastic Gene Regulatory Network in Evolution3.4 On the Interplay Between the Network Evolvability and Robustness of Biochemical Networks in Evolution; 3.5 On the Interplay Between the Evolvability and Network Robustness of High-Level Biological Networks in Evolution; 3.6 Discussion and Conclusion; 3.7 Appendix; Chapter 4: Evolutionary Ecological Networks; Abstract; 4.1 Introduction to Intrinsic Robustness, Environmental Robustness, and Network Robustness in the Evolution of the Ecological System. 
505 8 |a 4.2 Global Linearization and Finite Difference Methods for the Evolutionary Ecological Network4.3 Computer Simulation Example; 4.4 Conclusion; 4.5 Appendix; Part II: Applications of Network Evolution to Systems Synthetic Biology; Chapter 5: Robust Design for Evolutionary Synthetic Gene Networks Under Genetic Mutations and Environmental Disturbances: Genetic Algorithm (GA) Approach in Genotype Space; Abstract; 5.1 Introduction; 5.2 Tradeoff Between Genetic Robustness, Environmental Robustness, and Network Robustness in Synthetic Biology. 
505 8 |a 5.3 Robust Synthetic Gene Network Design via Network Evolution Through a GA Algorithm5.4 Robust Synthetic Gene Network Design via Library-Based Network Evolution Through a GA Searching Algorithm; 5.5 Computer Simulation Example; 5.6 Conclusion; 5.7 Appendix; Chapter 6: Robust Design of Genetic Networks: Evolutionary Systems Biology Approach via an Evolutionary Algorithm (EA) in Phenotype Space; Abstract; 6.1 Stochastic Model for Biological Systems in vivo Under Intrinsic Genetic Mutation and External Noise. 
520 |a 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. 
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