- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.
This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.
The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.
Contents
Chapter 1: Overview of Biological Network Inference and Modeling of Dynamics
Chapter 2: Network Inference From Steady-State Data
Chapter 3: Network Inference From Time-Course Data
Chapter 4: Network-Based Conceptualization of Observational Data
Chapter 5: Deterministic Differential Equations
Chapter 6: Stochastic Differential Equations
Chapter 7: From Network Inference to the Study of Human Diseases
Chapter 8: Conclusions
