RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction.

Zhang, Meng-Long; Zhao, Bo-Wei; Su, Xiao-Rui; He, Yi-Zhou; Yang, Yue; Hu, Lun

Zhang, Meng-Long; Zhao, Bo-Wei; Su, Xiao-Rui; He, Yi-Zhou; Yang, Yue; Hu, Lun.

Afiliación

Zhang ML; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China.
Zhao BW; University of Chinese Academy of Sciences, Beijing, China.
Su XR; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi, China.
He YZ; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China.
Yang Y; University of Chinese Academy of Sciences, Beijing, China.
Hu L; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi, China.

BMC Bioinformatics ; 23(1): 516, 2022 Dec 01.

Article en En | MEDLINE | ID: mdl-36456957

Asunto(s)

Aprendizaje; Neoplasias Pulmonares; Humanos; Benchmarking; Descubrimiento de Drogas; Paclitaxel

Palabras clave

Drugdisease association prediction; Graph representation learning; Heterogeneous network; Meta-path based random walk

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aprendizaje / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google