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Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins.
Li, Fuyi; Guo, Xudong; Bi, Yue; Jia, Runchang; Pitt, Miranda E; Pan, Shirui; Li, Shuqin; Gasser, Robin B; Coin, Lachlan Jm; Song, Jiangning.
Afiliación
  • Li F; College of Information Engineering, Northwest A&F University, Yangling, 712100, China; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth Street, Melbourne, Victoria, 3000, Australia. Electronic address: f
  • Guo X; College of Information Engineering, Northwest A&F University, Yangling, 712100, China.
  • Bi Y; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, 3800, Australia.
  • Jia R; College of Information Engineering, Northwest A&F University, Yangling, 712100, China.
  • Pitt ME; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth Street, Melbourne, Victoria, 3000, Australia.
  • Pan S; School of Information and Communication Technology, Griffith University, QLD, 4222, Australia.
  • Li S; College of Information Engineering, Northwest A&F University, Yangling, 712100, China.
  • Gasser RB; Melbourne Veterinary School, Faculty of Science, The University of Melbourne, VIC, 3010, Australia.
  • Coin LJ; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth Street, Melbourne, Victoria, 3000, Australia. Electronic address: lachlan.coin@unimelb.edu.au.
  • Song J; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, 3800, Australia. Electronic address: jiangning.song@monash.edu.
Comput Biol Med ; 163: 107155, 2023 09.
Article en En | MEDLINE | ID: mdl-37356289
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Mycobacterium tuberculosis Tipo de estudio: Diagnostic_studies Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Mycobacterium tuberculosis Tipo de estudio: Diagnostic_studies Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article