Jianfeng Feng,
Jürgen Jost,
Minping Qian
Networks: From Biology to Theory
Gebonden Engels 2007 2007e druk 9781846284854
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9781846284854
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:318
Uitgever:Springer London
Druk:2007
Hoofdrubriek:Netwerken, Computer en informatica
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
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
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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