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Computer Science - Communication Networks | Networks: From Biology to Theory

Networks: From Biology to Theory

Feng, Jianfeng, Jost, Jürgen, Qian, Minping (Eds.)

2007, XXV, 313 p.

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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.

Content Level » Research

Keywords » Mathematica - algorithms - bioinformatics - biology - computer - computer science - genes - genome - mathematics - networks - patterns - physiology - protein - simulation - statistics

Related subjects » Bioinformatics - Communication Networks - Systems Biology and Bioinformatics

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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