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Netter: re-ranking gene network inference predictions using structural network properties

BACKGROUND: Many algorithms have been developed to infer the topology of gene regulatory networks from gene expression data. These methods typically produce a ranking of links between genes with associated confidence scores, after which a certain threshold is chosen to produce the inferred topology....

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Detalles Bibliográficos
Autores principales: Ruyssinck, Joeri, Demeester, Piet, Dhaene, Tom, Saeys, Yvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746913/
https://www.ncbi.nlm.nih.gov/pubmed/26862054
http://dx.doi.org/10.1186/s12859-016-0913-0