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» Emergence of feedback in artificial gene regulatory networks
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APBC
2004
116views Bioinformatics» more  APBC 2004»
13 years 11 months ago
Evolving Genetic Regulatory Networks Using an Artificial Genome
Boolean models of genetic regulatory networks (GRNs) have been shown to exhibit many of the characteristic dynamics of real GRNs, with gene expression patterns settling to point a...
Jennifer Hallinan, Janet Wiles
IJCNN
2006
IEEE
14 years 3 months ago
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
- Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
Azhar Salim, Faramarz Valafar
CIBCB
2005
IEEE
14 years 3 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
GECCO
2007
Springer
131views Optimization» more  GECCO 2007»
14 years 4 months ago
Using feedback to regulate gene expression in a developmental control architecture
We present what we believe is the first attempt to physically reconstruct the exploratory mechanism of genetic regulatory networks. Feedback plays a crucial role during developme...
Kester Clegg, Susan Stepney, Tim Clarke
CEC
2003
IEEE
14 years 3 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage