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 interactions may be modelled by a Bayesian Network (BN) that represents the presence of direct interactions from regulators to re...

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Detalles Bibliográficos
Autores principales: Auliac, Cédric, Frouin, Vincent, Gidrol, Xavier, d'Alché-Buc, Florence
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2335304/
https://www.ncbi.nlm.nih.gov/pubmed/18261218
http://dx.doi.org/10.1186/1471-2105-9-91

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2335304/
https://www.ncbi.nlm.nih.gov/pubmed/18261218
http://dx.doi.org/10.1186/1471-2105-9-91

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