Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

BACKGROUND: Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships between entities, are key for identification of actionable knowledge from fr...

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Detalles Bibliográficos
Autores principales: Bravo, Àlex, Piñero, Janet, Queralt-Rosinach, Núria, Rautschka, Michael, Furlong, Laura I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466840/
https://www.ncbi.nlm.nih.gov/pubmed/25886734
http://dx.doi.org/10.1186/s12859-015-0472-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466840/
https://www.ncbi.nlm.nih.gov/pubmed/25886734
http://dx.doi.org/10.1186/s12859-015-0472-9

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