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