Article
Evolutionary approaches for the reverse-engineering of gene regulatory networks: a study on a biologically realistic dataset.
BMC bioinformatics - 8 Feb 2008
Auliac Cédric, Frouin Vincent, Gidrol Xavier, d'Alché-Buc Florence
Abstract excerpt
BACKGROUND: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interactions may be modelled by a Bayesian Network (BN) that represents the presence of direct interactions from regulators to regulees by conditional probability distributions. We used enhanced evolutionary algorithms to stochastically evolve a...
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