BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.

Chen, Qingyu; Lee, Kyubum; Yan, Shankai; Kim, Sun; Wei, Chih-Hsuan; Lu, Zhiyong

Chen, Qingyu; Lee, Kyubum; Yan, Shankai; Kim, Sun; Wei, Chih-Hsuan; Lu, Zhiyong.

Afiliación

Chen Q; National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
Lee K; National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
Yan S; National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
Kim S; National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
Wei CH; National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
Lu Z; National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.

PLoS Comput Biol ; 16(4): e1007617, 2020 04.

Article en En | MEDLINE | ID: mdl-32324731

Asunto(s)

Biología Computacional/métodos; Minería de Datos/métodos; Aprendizaje Profundo; Publicaciones; Algoritmos; Bases de Datos de Proteínas; Interacciones Farmacológicas; Registros Electrónicos de Salud; Humanos; Mapeo de Interacción de Proteínas; PubMed; Semántica

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Publicaciones / Biología Computacional / Minería de Datos / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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