scholarly journals Transition to chaos in models of genetic networks

2008 ◽  
pp. 261-274
Author(s):  
C. Hill ◽  
B. Sawhill ◽  
S. Kauffman ◽  
L. Glass
Keyword(s):  
Genetic Networks ◽  
Transition To Chaos

The Opportunity for Canalization and the Evolution of Genetic Networks

2005 ◽  
Vol 165 (2) ◽  
pp. 147
Author(s):  
Proulx ◽  
Phillips
Keyword(s):  
Genetic Networks

scholarly journals Exponential sensitivity of noise-driven switching in genetic networks

2008 ◽  
Vol 5 (2) ◽  
pp. 026005 ◽  
Author(s):  
Pankaj Mehta ◽  
Ranjan Mukhopadhyay ◽  
Ned S Wingreen
Keyword(s):  
Genetic Networks

Harmonic Dynamics and Transition to Chaos in a Nonlinear Electromechanical System with Parametric Coupling

2003 ◽  
Vol 67 (4) ◽  
pp. 269-275 ◽  
Author(s):  
R Yamapi ◽  
J B Chabi Orou ◽  
P Woafo
Keyword(s):  
Electromechanical System ◽  
Transition To Chaos ◽  
Parametric Coupling

Genetic Networks and Soft Computing

2011 ◽  
Vol 8 (1) ◽  
pp. 94-107 ◽  
Author(s):  
Sushmita Mitra ◽  
Ranajit Das ◽  
Yoichi Hayashi
Keyword(s):  
Soft Computing ◽  
Genetic Networks

Nonlinear dynamics: Simplicity and universality in the transition to chaos

Nature ◽  
1983 ◽  
Vol 305 (5931) ◽  
pp. 182-183 ◽  
Author(s):  
Alan Wolf
Keyword(s):  
Nonlinear Dynamics ◽  
Transition To Chaos

The Transition to Chaos in the SCX Model of International Security §

1995 ◽  
Vol 28 (23) ◽  
pp. 209-214 ◽  
Author(s):  
Markus Jathe ◽  
Jürgen Scheffran
Keyword(s):  
International Security ◽  
Transition To Chaos

scholarly journals Mutation and the evolution of ageing: from biometrics to system genetics

2010 ◽  
Vol 365 (1544) ◽  
pp. 1273-1279 ◽  
Author(s):  
Kimberly A. Hughes
Keyword(s):  
Evolutionary Genetics ◽  
Genetic Networks ◽  
Past Century ◽  
The Past ◽  
Laboratory Populations ◽  
Empirical Tests ◽  
Genetics And Genomics ◽  
Multicellular Organisms ◽  
Modern Population ◽  
Quantitative Explanation

A notable success for evolutionary genetics during the past century was to generate a coherent, quantitative explanation for an apparent evolutionary paradox: the tendency for multicellular organisms to show declining fitness with age (senescence, often referred to simply as ‘ageing’). This general theory is now widely accepted and explains most of the features of senescence that are observed in natural and laboratory populations, but specific instantiations of that theory have been more controversial. To date, most of the empirical tests of these models have relied on data generated from biometric experiments. Modern population genetics and genomics provide new, and probably more powerful, ways to test ideas that are still controversial more than half a century after the original theory was developed. System-genetic experiments have the potential to address both evolutionary and mechanistic questions about ageing by identifying causal loci and the genetic networks with which they interact. Both the biometrical approaches and the newer approaches are reviewed here, with an emphasis on the challenges and limitations that each method faces.

scholarly journals Transition to chaos in wide gap spherical Couette flow – experiment and DNS

2008 ◽  
Vol 137 ◽  
pp. 012028
Author(s):  
D Jilenko ◽  
O Krivonosova ◽  
N Nikitin
Keyword(s):  
Couette Flow ◽  
Spherical Couette Flow ◽  
Transition To Chaos ◽  
Flow Experiment ◽  
Wide Gap ◽  
Spherical Couette
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