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ClusterX: a novel representation learning-based deep clustering framework for accurate visual inspection in virtual screening.
Chen, Sikang; Gao, Jian; Chen, Jiexuan; Xie, Yufeng; Shen, Zheyuan; Xu, Lei; Che, Jinxin; Wu, Jian; Dong, Xiaowu.
Afiliación
  • Chen S; Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
  • Gao J; Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
  • Chen J; Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
  • Xie Y; School of Software Technology, Zhejiang University, Hangzhou 310058, China.
  • Shen Z; Second Affiliated Hospital School of Medicine, and School of Public Health, Zhejiang University, Hangzhou 310058, China.
  • Xu L; Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
  • Che J; Cancer Center of Zhejiang University, Hangzhou 310058, China.
  • Wu J; Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
  • Dong X; Second Affiliated Hospital School of Medicine, and School of Public Health, Zhejiang University, Hangzhou 310058, China.
Brief Bioinform ; 24(3)2023 05 19.
Article en En | MEDLINE | ID: mdl-37020333
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ligandos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ligandos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido