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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2013
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| 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 |