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» Current approaches to gene regulatory network modelling
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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolving specific network statistical properties using a gene regulatory network model
Abstract. The generation of network topologies with specific, userspecified statistical properties is the aim of this paper. This is achieved through the use of an artifical Gene R...
Miguel Nicolau, Marc Schoenauer
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 7 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 6 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
CEC
2009
IEEE
13 years 11 months ago
A model for intrinsic artificial development featuring structural feedback and emergent growth
Abstract--A model for intrinsic artificial development is introduced in this paper. The proposed model features a novel mechanism where growth emerges, rather than being triggered ...
Martin Trefzer, Tüze Kuyucu, Julian Francis M...
BIOINFORMATICS
2002
89views more  BIOINFORMATICS 2002»
13 years 7 months ago
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks
Ilya Shmulevich, Edward R. Dougherty, Seungchan Ki...