ENNET: inferring large gene regulatory networks from expression data using gradient boosting

BACKGROUND: The regulation of gene expression by transcription factors is a key determinant of cellular phenotypes. Deciphering genome-wide networks that capture which transcription factors regulate which genes is one of the major efforts towards understanding and accurate modeling of living systems...

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Detalles Bibliográficos
Autores principales: Sławek, Janusz, Arodź, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015806/
https://www.ncbi.nlm.nih.gov/pubmed/24148309
http://dx.doi.org/10.1186/1752-0509-7-106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015806/
https://www.ncbi.nlm.nih.gov/pubmed/24148309
http://dx.doi.org/10.1186/1752-0509-7-106

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