Biological Networks Volume 3 (PDF)

biological networks
 
Author:
François Képès
Release at: 2007
Pages: 531
Edition:
1st Edition/ Volume 3: Complex Systems
and Interdisciplinary Science
File Size: 21 MB
File Type: pdf
Language: English


Description of Biological Networks Volume 3


Biological Networks volume 3 written by François Képès is a great book for Biological Networks available in ebook (PDF) free download. Over the last few years, biologists have accumulated at an unprecedented pace huge datasets on systems at many different levels, ranging from molecules to populations. As these datasets typically consisted of a list of their interactions and biological objects, they could naturally be captured by network representations. It allowed any single domain of application to benefit from scientific breakthroughs originating in several disciplines, from graph theory to social networks or technological. 

This Biological Networks book testifies to the recent efficiency of this transversal approach while anticipating that the advent of more sophisticated types of abundant data may inspire combinations of an application-driven fashion by network methods with other approaches.

The relevant components in a system are identified as nodes and it calls network models. These components are represented as links between nodes by interactions. Following this abstraction step, it becomes possible to study the topological properties of the network. 

The uniformity & generality of the network representation makes it possible to compare systems of very different types. At present, pure & combined network-based approaches still present fascinating challenges with respect to topological properties, & to temporal and spatial development.

Content of Biological Networks Volume 3



Chapter 1  Scale-Free Networks in Biology  1
Eivind Almaas, Alexei Vázquez, and Albert-László Barabási

Chapter 2  Modularity in Biological Networks  21
Ricard V. Solé, Sergi Valverde and Carlos Rodriguez-Caso

Chapter 3  Biological Regulatory Networks Inference:  41
Machine Learning Approaches Florence d'Alché-Buc

Chapter 4  Transcriptional Networks  83
François Képès

Chapter 5  Protein Interaction Networks  133
Kai Tan and Trey Ideker

Chapter 6  Metabolic Networks  163
David A. Fell

Chapter 7  Heterogeneous Molecular Networks  199
Vincent Schächter

Chapter 8  Evolution of Regulatory Networks 257
Amélie Veron, Dion Whitehead, and Erich Bornberg-Bauer

Chapter 9  Complexity in Neuronal Networks  291
Yves Frégnac, Michelle Rudolph, Andrew P. Davison, and Alain Destexhe

Chapter 10 The Immune System Networks  341
Robin E. Callard and Jaroslav Stark

Chapter 11 History of the Study of Ecological Networks  365
Louis-Félix Bersier

Chapter 12 Dynamic Network Models and Ecological Diversity,  423
Complexity, and Nonlinear Persistence Richard J. Williams and Neo D. Martinez

Chapter 13 Infection Transmission through Networks  449
James S. Koopman

Index  507

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