RDBridge: a knowledge graph of rare diseases based on large-scale text mining.

Xing, Huadong; Zhang, Dachuan; Cai, Pengli; Zhang, Rui; Hu, Qian-Nan

Xing, Huadong; Zhang, Dachuan; Cai, Pengli; Zhang, Rui; Hu, Qian-Nan.

Afiliação

Xing H; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Zhang D; Institute of Environmental Engineering, ETH Zurich, Zurich 8093, Switzerland.
Cai P; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Zhang R; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Hu QN; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

Bioinformatics ; 39(7)2023 07 01.

Article em En | MEDLINE | ID: mdl-37458501

Assuntos

Reconhecimento Automatizado de Padrão; Doenças Raras; Humanos; Doenças Raras/diagnóstico; Doenças Raras/epidemiologia; Doenças Raras/genética; Mineração de Dados/métodos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Automatizado de Padrão / Doenças Raras Tipo de estudo: Diagnostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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