Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature

BACKGROUND: Automatic identification of term variants or acceptable alternative free-text terms for gene and protein names from the millions of biomedical publications is a challenging task. Ontologies, such as the Cardiovascular Disease Ontology (CVDO), capture domain knowledge in a computational f...

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Publicat a:J Biomed Semantics
Autors principals: Arguello Casteleiro, Mercedes, Demetriou, George, Read, Warren, Fernandez Prieto, Maria Jesus, Maroto, Nava, Maseda Fernandez, Diego, Nenadic, Goran, Klein, Julie, Keane, John, Stevens, Robert
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2018
Matèries:
Research
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5896136/
https://ncbi.nlm.nih.gov/pubmed/29650041
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-018-0181-1
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