Networks: From Biology to Theory / Edition 1

Networks: From Biology to Theory / Edition 1

by Jianfeng Feng
     
 

During the past decades, we have witnessed the thriving development of new mathematical, computational and theoretical approaches such as bioinformatics and neuroinformatics to tackle some fundamental issues in biology. These scientific approaches focus no longer on individual units, such as nerve cells or genes, but rather on the emerging dynamic patterns of

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Overview

During the past decades, we have witnessed the thriving development of new mathematical, computational and theoretical approaches such as bioinformatics and neuroinformatics to tackle some fundamental issues in biology. These scientific approaches focus no longer on individual units, such as nerve cells or genes, but rather on the emerging dynamic patterns of interactions between them. These concentrate on the interplay between the local dynamics and activity transmissions on one side and the global structure of the underlying connection scheme on the other hand.

In this light, the concept of a network emerges as a powerful and stimulating research paradigm in mathematics, physics and computer science, and demonstrates a very lively interaction between experimental findings, simulation studies, and theoretical investigations that then in turn lead to new experimental questions.

This volume explores this concept in full and features contributions from a truly global set of contributors, many of whom are pre-eminent in their respective fields.

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Product Details

ISBN-13:
9781849966092
Publisher:
Springer London
Publication date:
11/05/2010
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
318
Product dimensions:
9.21(w) x 6.14(h) x 0.71(d)

Table of Contents

Tentative contribution list - to be confirmed.

P Stadler: A tree or not a tree: Evolutionary trees and similarity networks

D Drasdo: Simulated evolution of regulatory networks encoding cell migration and aggregation strategies

Ou YQ: The model and robustness of gene networks of budding yeast

Zhang XG: Building gene networks by information fusion with multiple data types

Wang W: The contact network in proteins

Deng MH: The protein-gene interaction

JD Han: Eukaryotic protein-protein interaction networks: structure, function and dynamics

Luo LF: Protein folding influenced by mRNA information

Lu ZH: Biomolecular networks: methods and considerations

Zhang M: The new information of gene networks from experiments

Qian MP: The stochastic model of gene networks

Sun ZR: Protein Networks

Biyikoglu T: The importance of eigenvalues of large networks

Atay F: Networks with delays

Ay N: Robustness in biological systems

Jost J: Formal aspects of networks: what perspectives can mathematics offer to biology and neurobiology

A Dress: A tree or not a tree: evolutionary trees and similarity networks

Eckhorn R: Neural mechanisms of visual associative processing

Tuckwell H: Stochastic network behaviour and single neuron properties

Wang YJ: Synchronized oscillation in a modular neural network composed of columns

Gu FJ: Complexity analysis of brain signals

Ritter H: Gestalt formation in a competitive layered neural architecture

Huang ZY ( N Wan): Stochastic modeling, simulation and inference, and some characteristics of gene regulatory and other networks

Feng JF: Neural Computation using higher order statistics

Xu ZB: A new approach for classfication and regression: the visual system simulation viewpoint

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