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PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships.
Pan, Tong; Li, Chen; Bi, Yue; Wang, Zhikang; Gasser, Robin B; Purcell, Anthony W; Akutsu, Tatsuya; Webb, Geoffrey I; Imoto, Seiya; Song, Jiangning.
Affiliation
  • Pan T; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Li C; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Bi Y; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Wang Z; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Gasser RB; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC 3010, Australia.
  • Purcell AW; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Akutsu T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji 611-0011, Japan.
  • Webb GI; Monash Data Futures Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Imoto S; Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
  • Song J; Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, Bunkyo-ku, Tokyo 113-8657, Japan.
Bioinformatics ; 39(3)2023 03 01.
Article in En | MEDLINE | ID: mdl-36794913
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Full text: 1 Database: MEDLINE Main subject: Deep Learning Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Australia
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Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Deep Learning Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Australia