DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions.

Wang, Tao; Yang, Jinjin; Xiao, Yifu; Wang, Jingru; Wang, Yuxian; Zeng, Xi; Wang, Yongtian; Peng, Jiajie

Wang, Tao; Yang, Jinjin; Xiao, Yifu; Wang, Jingru; Wang, Yuxian; Zeng, Xi; Wang, Yongtian; Peng, Jiajie.

Afiliação

Wang T; School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
Yang J; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an 710072, China.
Xiao Y; School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
Wang J; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an 710072, China.
Wang Y; School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
Zeng X; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an 710072, China.
Wang Y; School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
Peng J; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an 710072, China.

Bioinformatics ; 39(1)2023 01 01.

Article em En | MEDLINE | ID: mdl-36579885

Assuntos

Interações Alimento-Droga; Redes Neurais de Computação; Software

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Interações Alimento-Droga Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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