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Hierarchical deep learning for predicting GO annotations by integrating protein knowledge.
Merino, Gabriela A; Saidi, Rabie; Milone, Diego H; Stegmayer, Georgina; Martin, Maria J.
Affiliation
  • Merino GA; Bioengineering and Bioinformatics Research and Development Institute (IBB), FI-UNER, CONICET, Oro Verde 3100, Argentina.
  • Saidi R; Research Institute for Signals, Systems and Computational Intelligence (sinc(i)), FICH-UNL, CONICET, Ciudad Universitaria UNL, Santa Fe 3000, Argentina.
  • Milone DH; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB101SD, UK.
  • Stegmayer G; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB101SD, UK.
  • Martin MJ; Research Institute for Signals, Systems and Computational Intelligence (sinc(i)), FICH-UNL, CONICET, Ciudad Universitaria UNL, Santa Fe 3000, Argentina.
Bioinformatics ; 38(19): 4488-4496, 2022 09 30.
Article in En | MEDLINE | ID: mdl-35929781
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: