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7 篇文献
 
Literature survey: computational modelling of gene regulatory networks  
I'm trying to write about papers as I read them, so I have some reference of what each was about. I'll use this document as the notes from which to write a proper lit review and/or paper introductions......
0次引用 0 0
Evolutionary and Embryogenic Approaches to Autonomic Systems  
Systems; F.1.1 [Computation by Abstract Devices]: Models of Computation; I.2 [Computing Methodologies]: Artificial Intelligence General Terms......
1次引用 0 0
Evolutionary Synthesis of Stochastic Gene Network Models using Feature-based Search Spaces  
A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time course of protein expression le......
3次引用 0 0
Evolving stochastic processes using feature tests and genetic programming  
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest vary over time in a pr......
Genetic and Evolutionary Computation Conference  2009
6次引用 0 0
A Simple Computational Cell: Coupling Boolean Gene and Protein Networks  
This article presents an , tunable model containing two of the principal information-processing features of cells and explores its use with simulated evolution. The random Boolean model of genetic re......
Artificial Life  2012
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Code Regulation in Open Ended Evolution  
Abstract. We explore a homeostatic approach to program execution in computer systems: the “concentration ” of computation services is regulated according to their fitness. The goal is to obtain a self......
European Conference on Genetic Programming  2007
2次引用 0 0
The Evolution of Higher-level Biochemical Reaction Models  
Computational tools for analyzing biochemical phenomena are becoming increasingly important. Recently, high-level formal languages for modeling and simulating biochemical reactions have been proposed.......
2次引用 0 0

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