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Computational Systems Biology 1st Edition Inference and Modelling di Lecca

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Autore: Lecca
Editore: Elsevier UK
Data di Pubblicazione: 2016
ISBN: 9780081000953
Pagine: 180


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.

Key Features:

  • Provides a unified presentation of network inference, analysis, and modeling
  • Explores the connection between math and systems biology, providing a framework to learn to analyze, infer, simulate, and modulate the behavior of complex biological systems
  • Includes chapters in modular format for learning the basics quickly and in the context of questions posed by systems biology
  • Offers a direct style and flexible formalism all through the exposition of mathematical concepts and biological applications

Readership

Students and researchers in mathematics, computer science, chemistry and biology willing to address the timely topics of network inference and analysis, model specification and simulation

Table of Contents

Chapter 1. Overview on biological network inference and modeling of dynamics 
Chapter 2. Inference from steady-state data 
Chapter 3. 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 human disease study 
Chapter 8: Conclusions