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Identification, analysis and control of discrete and continuous models of gene regulation networks /

Long description: A systems biological approach towards cellular networks promises a better understanding of how these systems work. The development of mathematical models is however inherently complicated, as the involved molecules and their interactions are mostly difficult to measure. Focusing on...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Breindl, Christian (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Alemán
Publicado: Berlin : Logos Verlag Berlin GmbH, [2016]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro; 1 Introduction; 1.1 Motivation; 1.2 Contributions and outline of the thesis; 2 Background; 2.1 Biological fundamentals of gene regulation; 2.2 Mathematical modeling of gene regulation networks; 2.3 Measurement techniques; 3 Identification of Boolean or discrete models of gene regulation networks; 3.1 Introduction and problem statement; 3.2 Polynomial representation of discrete functions; 3.3 Reformulation of the identification problem as a linear program; 3.4 Reduced order representation and robust estimation of unate Boolean functions; 3.5 Application examples
  • 3.6 Summary and discussion4 Analysis of multistability and multistability robustness; 4.1 Introduction and problem statement; 4.2 Modeling framework and preliminaries; 4.3 A combinatorial approach for the validation of multistability in gene regulation networks; 4.4 Steady state robustness analysis and model discrimination; 4.5 Application examples; 4.6 Summary and discussion; 5 Control of Boolean models of gene regulation networks; 5.1 Introduction and problem statement; 5.2 Representation of Boolean networks as a discrete event system; 5.3 Application example; 5.4 Summary and discussion
  • 6 Conclusion6.1 Summary; 6.2 Outlook; Appendix