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TEMPO: A transformer-based mutation prediction framework for SARS-CoV-2 evolution.
Zhou, Binbin; Zhou, Hang; Zhang, Xue; Xu, Xiaobin; Chai, Yi; Zheng, Zengwei; Kot, Alex Chichung; Zhou, Zhan.
Afiliação
  • Zhou B; Department of Computer Science and Computing, Zhejiang University City College, No. 48 Huzhou Street, Hangzhou, 310015, China; Industry Brain Institute, Zhejiang University City College, Hangzhou, 310015, China. Electronic address: bbzhou@zucc.edu.cn.
  • Zhou H; Department of Computer Science and Computing, Zhejiang University City College, No. 48 Huzhou Street, Hangzhou, 310015, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China. Electronic address: hangz@zju.edu.cn.
  • Zhang X; Innovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China. Electronic address: 22119130@zju.edu.cn.
  • Xu X; Innovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China. Electronic address: 3190104201@zju.edu.cn.
  • Chai Y; ZJU-UoE Institute, Zhejiang University, Haining, 314400, China. Electronic address: ychai@u.nus.edu.
  • Zheng Z; Department of Computer Science and Computing, Zhejiang University City College, No. 48 Huzhou Street, Hangzhou, 310015, China; Industry Brain Institute, Zhejiang University City College, Hangzhou, 310015, China. Electronic address: zhengzw@zucc.edu.cn.
  • Kot AC; School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore. Electronic address: eackot@ntu.edu.sg.
  • Zhou Z; Innovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China; The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Ch
Comput Biol Med ; 152: 106264, 2023 01.
Article em En | MEDLINE | ID: mdl-36535209
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article