This book:

• Provides a comprehensive account of inference techniques in systems biology.
• Introduces classical and Bayesian statistical methods for complex systems.
• Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems.
• Discusses various applications for statistical systems biology, such as gene regulation and signal transduction.
• Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies.
• Presents an in-depth presentation of reverse engineering approaches.
• Provides colour illustrations to explain key concepts.

This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.