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...

Descripción completa

Detalles Bibliográficos
Autores principales: Arguello Casteleiro, Mercedes, Demetriou, George, Read, Warren, Fernandez Prieto, Maria Jesus, Maroto, Nava, Maseda Fernandez, Diego, Nenadic, Goran, Klein, Julie, Keane, John, Stevens, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896136/
https://www.ncbi.nlm.nih.gov/pubmed/29650041
http://dx.doi.org/10.1186/s13326-018-0181-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896136/
https://www.ncbi.nlm.nih.gov/pubmed/29650041
http://dx.doi.org/10.1186/s13326-018-0181-1

Ejemplares similares