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State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference

To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs) inference. GRNs represent causal relationships between genes that have a direct influence, trough protein production, on the life and the development of l...

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Detalles Bibliográficos
Autores principales: Al Qazlan, Tuqyah Abdullah, Hamdi-Cherif, Aboubekeur, Kara-Mohamed, Chafia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386676/
https://www.ncbi.nlm.nih.gov/pubmed/25879048
http://dx.doi.org/10.1155/2015/148010