Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset

Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset

<p>Abstract</p> <p>Background</p> <p>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 th...

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Bibliographic Details
Main Authors: Gidrol Xavier, Frouin Vincent, Auliac Cédric, d'Alché-Buc Florence
Format: Article
Language:English
Published: BMC 2008-02-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/9/91

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