AMDE: a novel attention-mechanism-based multidimensional feature encoder for drug-drug interaction prediction.

Pang, Shanchen; Zhang, Ying; Song, Tao; Zhang, Xudong; Wang, Xun; Rodriguez-Patón, Alfonso

Pang, Shanchen; Zhang, Ying; Song, Tao; Zhang, Xudong; Wang, Xun; Rodriguez-Patón, Alfonso.

Afiliação

Pang S; College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.
Zhang Y; College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.
Song T; College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.
Zhang X; Department of Artificial Intelligence, Faculty of Computer Science, Polytechnical University of Madrid, Campus de Montegancedo, Boadilla del Monte 28660, Madrid, Spain.
Wang X; College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.
Rodriguez-Patón A; College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.

Brief Bioinform ; 23(1)2022 01 17.

Article em En | MEDLINE | ID: mdl-34965586

Assuntos

Interações Medicamentosas; Aprendizado Profundo; Humanos; Redes Neurais de Computação; Preparações Farmacêuticas

Palavras-chave

DDI prediction; deep learning; encoder; multidimensional feature

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interações Medicamentosas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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