Description

Book Synopsis
This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex systems approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.

Table of Contents
Transversal Issues: Scale-Free Networks in Biology; Modularity in Biological Networks; Inference of Biological Regulatory Networks: Machine Learning Approaches; Molecular Level: Transcriptional Networks; Protein Interaction Networks; Metabolic Networks; Heterogeneous Molecular Networks; Evolution of Regulatory Networks; Cellular Level: Complexity in Neuronal Networks; Networks of the Immune System; Population Level: A History of the Study of Ecological Networks; Dynamic Network Models of Ecological Diversity, Complexity, and Nonlinear Persistence; Infection Transmission through Networks.

Biological Networks

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    A Hardback by Francois Kepes

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      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 05/12/2007
      ISBN13: 9789812706959, 978-9812706959
      ISBN10: 981270695X

      Description

      Book Synopsis
      This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex systems approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.

      Table of Contents
      Transversal Issues: Scale-Free Networks in Biology; Modularity in Biological Networks; Inference of Biological Regulatory Networks: Machine Learning Approaches; Molecular Level: Transcriptional Networks; Protein Interaction Networks; Metabolic Networks; Heterogeneous Molecular Networks; Evolution of Regulatory Networks; Cellular Level: Complexity in Neuronal Networks; Networks of the Immune System; Population Level: A History of the Study of Ecological Networks; Dynamic Network Models of Ecological Diversity, Complexity, and Nonlinear Persistence; Infection Transmission through Networks.

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