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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4466840/ https://ncbi.nlm.nih.gov/pubmed/25886734 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0472-9 |
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