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Descripción

Collective Behavior In Systems Biology: A Primer on Modeling Infrastructure offers a survey of established and emerging methods for quantifying process behavior in cellular systems. It introduces and applies mathematics and related abstract methods to processes in biological systems - why they are used, how they work, and what they mean. Emphasizing differential equations in an interdisciplinary approach, this book discusses infrastructure for kinetic modeling, technological system and control theories, optimization, and process behavior in cellular networks. The knowledge that the reader gains will be valuable for entering and keeping up with a rapidly developing discipline.

  • Introduces basics of mathematical and abstract methods for understanding, predicting, and modifying collective behavior in cellular systems
  • Targets biomedical professionals as well as computational specialists who are willing to take advantage of novel high-throughput data acquisition technologies

1. Introduction - p. xiii 2. Chapter 1. Change/differential equations - p. 1 3. Chapter 2. Consensus/linear algebra - p. 69 4. Chapter 3. Alternative infrastructure/series, numerical methods - p. 93 5. Chapter 4. Systems/input into output - p. 115 6. Chapter 5. Managing processes/control - p. 131 7. Chapter 6. Best choices/optimization - p. 151 8. Chapter 7. Chance encounters/random processes - p. 173 9. Chapter 8. Organized behavior/networks - p. 185 10. Index - p. 231

Descripcion
Descripción

Collective Behavior In Systems Biology: A Primer on Modeling Infrastructure offers a survey of established and emerging methods for quantifying process behavior in cellular systems. It introduces and applies mathematics and related abstract methods to processes in biological systems - why they are used, how they work, and what they mean. Emphasizing differential equations in an interdisciplinary approach, this book discusses infrastructure for kinetic modeling, technological system and control theories, optimization, and process behavior in cellular networks. The knowledge that the reader gains will be valuable for entering and keeping up with a rapidly developing discipline.

  • Introduces basics of mathematical and abstract methods for understanding, predicting, and modifying collective behavior in cellular systems
  • Targets biomedical professionals as well as computational specialists who are willing to take advantage of novel high-throughput data acquisition technologies

1. Introduction - p. xiii 2. Chapter 1. Change/differential equations - p. 1 3. Chapter 2. Consensus/linear algebra - p. 69 4. Chapter 3. Alternative infrastructure/series, numerical methods - p. 93 5. Chapter 4. Systems/input into output - p. 115 6. Chapter 5. Managing processes/control - p. 131 7. Chapter 6. Best choices/optimization - p. 151 8. Chapter 7. Chance encounters/random processes - p. 173 9. Chapter 8. Organized behavior/networks - p. 185 10. Index - p. 231

Indice
Autores
Muestra
Ficha Técnica