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Genetic source completeness of HIV-1 circulating recombinant forms (CRFs) predicted by multi-label learning.
Tang, Runbin; Yu, Zuguo; Ma, Yuanlin; Wu, Yaoqun; Phoebe Chen, Yi-Ping; Wong, Limsoon; Li, Jinyan.
Afiliação
  • Tang R; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Hunan 411105, China.
  • Yu Z; Advanced Analytics Institute, University of Technology Sydney, Sydney, NSW 2007, Australia.
  • Ma Y; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Hunan 411105, China.
  • Wu Y; School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD 4001, Australia.
  • Phoebe Chen YP; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Hunan 411105, China.
  • Wong L; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Hunan 411105, China.
  • Li J; Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia.
Bioinformatics ; 37(6): 750-758, 2021 05 05.
Article em En | MEDLINE | ID: mdl-33063094
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / HIV-1 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / HIV-1 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China