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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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| Publicado en: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4746913/ https://ncbi.nlm.nih.gov/pubmed/26862054 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0913-0 |
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