Systems Evolutionary Biology Biological Network Evolution Theory Stochastic Evolutionary Game Strategies and Applications to Systems Synthetic Biology 1st Edition by Bor Sen Chen ISBN 9780128140727 0128140720

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ISBN 10: 0128140720
ISBN 13: 9780128140727
Author: Bor Sen Chen

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.

• Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspective
• Discusses the evolutionary noncooperative and cooperative game strategies of biological networks
• Offers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networks
• Includes examples in every chapter with computational simulation to illustrate the solution procedure of evolutionary theory, strategy and results

Systems Evolutionary Biology Biological Network Evolution Theory Stochastic Evolutionary Game Strategies and Applications to Systems Synthetic Biology 1st Edition Table of contents:

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

2.1 Introduction to the Robust Stability of Stochastic Dynamic Systems

2.2 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

3.3 On the Interplay Between the Network Evolvability and Network Robustness of a Nonlinear Stochastic Gene Regulatory Network in Evolution

3.4 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

4.2 Global Linearization and Finite Difference Methods for the Evolutionary Ecological Network

4.3 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

5.3 Robust Synthetic Gene Network Design via Network Evolution Through a GA Algorithm

5.4 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

6.2 Robust Design of a Biological Circuit via Evolutionary Systems Biology Through the EA Searching Algorithm

6.3 Design Example In Silico

6.4 Discussion and Conclusion

Chapter 7: On the Adaptive Design Rules of Biochemical Networks in Evolution

Abstract

7.1 Introduction of Adaptive Evolution of Biochemical Networks

7.2 Mathematical Rules for Natural Selection in Biochemical Network Evolution

7.3 Computational Examples

7.4 Conclusion

Part III: Stochastic Evolutionary Game Strategies

Chapter 8: Stochastic Nash Evolutionary Game as a Natural Selection Strategy in a Population of Biological Networks

Abstract

8.1 Introduction to Biological Network Robustness and Evolvability

8.2 Stochastic Evolutionary Game in a Linear Biological Network

8.3 Stochastic Game in the Nonlinear Biological Network

8.4 Global Linearization Approach to the Nonlinear Stochastic Evolutionary Game

8.5 Computer Simulation Example

8.6 Conclusion

8.7 Appendix

Chapter 9: Stochastic Noncooperative and Cooperative Evolutionary Game Strategies of a Population of Biological Networks Under Natural Selection

Abstract

9.1 Review of Evolutionary Game Strategies of Stochastic Biological Networks

9.2 Noncooperative Evolutionary Game Strategy of Stochastic Biological Networks Under Natural Selection

9.3 Cooperative Evolutionary Game Strategy of Stochastic Biological Networks Under Natural Selection

9.4 Simulation Examples

9.5 Discussions and Conclusions

9.6 Appendix

Chapter 10: Evolutionary Game Strategy of an Evolutionary Biological Network of Somatic Cells in the Organ Carcinogenesis and Aging Process

Abstract

10.1 Introduction to an Evolutionary Somatic Cells Network in the Organ Carcinogenesis and Aging

10.2 Stochastic Evolutionary Biological Network of an Organ in Carcinogenesis

10.3 Natural Selection in Carcinogenesis and Aging

10.4 In Silico Example

10.5 Discussion

10.6 Conclusion

10.7 Appendix

Part IV: Evolution Measurements of Biological Networks

Chapter 11: On the System Entropy of Nonlinear Stochastic Biological Networks and Its Relationship to Network Evolution

Abstract

11.1 Introduction to System Entropy and Network Evolution of Biological Networks

11.2 Measuring the System Entropy of Biological Networks

11.3 Example of Calculating System Entropy of Biological Networks

11.4 Conclusion

11.5 Appendix

Chapter 12: On the Evolution Measurement of Somatic Networks by the Changes of Their Robustness and Response Ability in the Aging Process via Microarray Data

Abstract

12.1 Introduction to the Evolutionary Gene Regulatory Network (GRN) in the Aging Process

12.2 Measuring Network Evolution in the Aging Process by the Systems Biological Method via Microarray Data

12.3 Measurements of Network Evolution and Discussion of Evolutionary Network Robustness and Response Ability in the Aging Process

12.4 Conclusion

12.5 Appendix

Chapter 13: Evolution of Network Biomarkers Measured by Microarray Data From Early to Late Stage Bladder Cancer Samples

Abstract

13.1 Introduction to Network Biomarkers of Cancer

13.2 Materials and Evolution Measurement Methods of Network Biomarkers

13.3 Results and Discussion on Evolutionary Network Biomarkers

13.4 Conclusions

13.5 Appendix

References

Index

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Tags: Bor Sen Chen, Systems Evolutionary, Biology Biological, Network Evolution, Stochastic Evolutionary