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Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction.
Lin, Xuan; Dai, Lichang; Zhou, Yafang; Yu, Zu-Guo; Zhang, Wen; Shi, Jian-Yu; Cao, Dong-Sheng; Zeng, Li; Chen, Haowen; Song, Bosheng; Yu, Philip S; Zeng, Xiangxiang.
Afiliação
  • Lin X; College of Computer Science, Xiangtan University, Xiangtan, China.
  • Dai L; College of Computer Science, Xiangtan University, Xiangtan, China.
  • Zhou Y; College of Computer Science, Xiangtan University, Xiangtan, China.
  • Yu ZG; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China.
  • Zhang W; College of Informatics, Huazhong Agricultural University, China.
  • Shi JY; Northwestern Polytechnical University, Xian, China.
  • Cao DS; Xiangya School of Pharmaceutical Sciences, Central South University, China.
  • Zeng L; AIDD department of Yuyao Biotech, Shanghai, China.
  • Chen H; College of Computer Science and Electronic Engineering, Hunan University, 410013 Changsha, P. R. China.
  • Song B; College of Information Science and Engineering, Hunan University, Changsha, China.
  • Yu PS; University of Illinois at Chicago and also holds the Wexler Chair in Information Technology.
  • Zeng X; College of Information Science and Engineering, Hunan University, Changsha, China.
Brief Bioinform ; 24(4)2023 07 20.
Article em En | MEDLINE | ID: mdl-37401373
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Redes Neurais de Computação Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Redes Neurais de Computação Idioma: En Ano de publicação: 2023 Tipo de documento: Article