Book description
Filling the need for a text on control theory for systems biologists, this self-contained, easy-to-follow book explains how feedback control concepts can be applied to systems biology. Each chapter introduces key topics and case studies that explore applications in cellular and molecular biology. The authors cover tools and techniques for the analysis of linear and nonlinear systems, negative and positive feedback, robustness analysis methods, techniques for the reverse-engineering of biological interaction networks, and the analysis of stochastic biological control systems. A valuable reference, this text offers a sound starting point for scientists entering this fascinating and rapidly developing field.
Table of contents
- Front Cover
- Dedication
- Contents
- Preface
- Epigraph
- 1. Introduction (1/4)
- 1. Introduction (2/4)
- 1. Introduction (3/4)
- 1. Introduction (4/4)
- 2. Linear systems (1/10)
- 2. Linear systems (2/10)
- 2. Linear systems (3/10)
- 2. Linear systems (4/10)
- 2. Linear systems (5/10)
- 2. Linear systems (6/10)
- 2. Linear systems (7/10)
- 2. Linear systems (8/10)
- 2. Linear systems (9/10)
- 2. Linear systems (10/10)
- 3. Nonlinear systems (1/10)
- 3. Nonlinear systems (2/10)
- 3. Nonlinear systems (3/10)
- 3. Nonlinear systems (4/10)
- 3. Nonlinear systems (5/10)
- 3. Nonlinear systems (6/10)
- 3. Nonlinear systems (7/10)
- 3. Nonlinear systems (8/10)
- 3. Nonlinear systems (9/10)
- 3. Nonlinear systems (10/10)
- 4. Negative feedback systems (1/8)
- 4. Negative feedback systems (2/8)
- 4. Negative feedback systems (3/8)
- 4. Negative feedback systems (4/8)
- 4. Negative feedback systems (5/8)
- 4. Negative feedback systems (6/8)
- 4. Negative feedback systems (7/8)
- 4. Negative feedback systems (8/8)
- 5. Positive feedback systems (1/7)
- 5. Positive feedback systems (2/7)
- 5. Positive feedback systems (3/7)
- 5. Positive feedback systems (4/7)
- 5. Positive feedback systems (5/7)
- 5. Positive feedback systems (6/7)
- 5. Positive feedback systems (7/7)
- 6. Model validation using robustness analysis (1/6)
- 6. Model validation using robustness analysis (2/6)
- 6. Model validation using robustness analysis (3/6)
- 6. Model validation using robustness analysis (4/6)
- 6. Model validation using robustness analysis (5/6)
- 6. Model validation using robustness analysis (6/6)
- 7. Reverse engineering biomolecular networks (1/9)
- 7. Reverse engineering biomolecular networks (2/9)
- 7. Reverse engineering biomolecular networks (3/9)
- 7. Reverse engineering biomolecular networks (4/9)
- 7. Reverse engineering biomolecular networks (5/9)
- 7. Reverse engineering biomolecular networks (6/9)
- 7. Reverse engineering biomolecular networks (7/9)
- 7. Reverse engineering biomolecular networks (8/9)
- 7. Reverse engineering biomolecular networks (9/9)
- 8. Stochastic effects in biological control systems (1/5)
- 8. Stochastic effects in biological control systems (2/5)
- 8. Stochastic effects in biological control systems (3/5)
- 8. Stochastic effects in biological control systems (4/5)
- 8. Stochastic effects in biological control systems (5/5)
Product information
- Title: Feedback Control in Systems Biology
- Author(s):
- Release date: October 2011
- Publisher(s): CRC Press
- ISBN: 9781439816912
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