Networks: From Biology to Theory (eBook)

Jianfeng Feng, Jürgen Jost, Minping Qian (Herausgeber)

eBook Download: PDF

2007 | 2007
XXVI, 318 Seiten
Springer London (Verlag)
978-1-84628-780-0 (ISBN)

Infos

Recent decades have witnessed the thriving development of new mathematical, computational and theoretical approaches, such as bioinformatics and neuroinformatics, to tackle fundamental issues in biology. These approaches focus no longer on individual units, such as nerve cells or genes, but rather on dynamic patterns of interactions between them. This volume explores the concept in full, featuring contributions from a global group of contributors, many of whom are pre-eminent in their field.

Many invited speakers are quite senior people in the area. For example, Prof. Ritter and Prof. Jost won the Lebnitz Prize in Germany, which is the highest prize in Germany. There are many senior people from China as well and the invited speakers are from Qinhua, Peking, Fudan etc. University, covering almost all leading universities in China. Prof. Zhang, from Cold Spring USA (arguably the best institute in biology in the world), is the leading biologist working in the area.

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After over a century of research, we still do not understand the principle by which a stimulus, such as an odour or a sound, is represented by distributed neural ensembles within the brain; by which an individual is developed by the control of gene networks. While past studies have made detailed analysis of response profiles of single cells and the properties of a single gene in isolation, such techniques and approaches cannot easily address holistic issues of how large ensembles of neurons and genes can integrate information both spatially and temporally. There is little doubt that much of the info processing power of the brain or a gene network resides in the activities of co-operating and competing networks of neurons and genes and that if we unlock the principles whereby info is encoded and processed within these networks as a whole, rather than within single neurones or genes in isolation, we may be able to understand how the brain or gene network works. Our book will contribute to the development of such a study.

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 4.9.2007
• Zusatzinfo: XXVI, 318 p. 89 illus.
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Technik
• Schlagworte: algorithms • Bioinformatics • Biology • Computational Biology • Computer • Computer Science • Gene Network • genes • Genome • Mathematica • Mathematics • Metabolic Network • Network • Networks • Neuroinformatics • Neuronal Network • Patterns • Physiology • Protein • Simulation • Statistics
• ISBN-10: 1-84628-780-4 / 1846287804
• ISBN-13: 978-1-84628-780-0 / 9781846287800