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BERTINORO
2005
Springer
13 years 11 months ago
Evolving Fractal Gene Regulatory Networks for Graceful Degradation of Software
Fractal proteins are an evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Mande...
Peter J. Bentley
BMCBI
2008
174views more  BMCBI 2008»
13 years 6 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
APBC
2004
116views Bioinformatics» more  APBC 2004»
13 years 7 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
CMSB
2006
Springer
13 years 9 months ago
Regulatory Network Reconstruction Using Stochastic Logical Networks
Abstract. This paper presents a method for regulatory network reconstruction from experimental data. We propose a mathematical model for regulatory interactions, based on the work ...
Bartek Wilczynski, Jerzy Tiuryn
BMCBI
2010
152views more  BMCBI 2010»
13 years 6 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...