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Evaluating hierarchical machine learning approaches to classify biological databases.

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Title: Evaluating hierarchical machine learning approaches to classify biological databases.
Authors: Rezende PM; Universidade Federal de Minas Gerais.; Instituto René Rachou, Fundação Oswaldo Cruz.; Stilingue Inteligência Artificial., Xavier JS; Universidade Federal de Minas Gerais.; Instituto René Rachou, Fundação Oswaldo Cruz.; Institute of Agricultural Sciences, Universidade Federal dos Vales do Jequitinhonha e Mucuri., Ascher DB; School of Chemistry and Molecular Biosciences, University of Queensland.; Systems and Computational Biology, Bio 21 Institute, University of Melbourne.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute., Fernandes GR; Instituto René Rachou, Fundação Oswaldo Cruz., Pires DEV; Systems and Computational Biology, Bio 21 Institute, University of Melbourne.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute.; School of Computing and Information Systems, University of Melbourne.
Source: Briefings in bioinformatics [Brief Bioinform] 2022 Jul 18; Vol. 23 (4).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Rezende+PM%22">Rezende PM</searchLink>; Universidade Federal de Minas Gerais.; Instituto René Rachou, Fundação Oswaldo Cruz.; Stilingue Inteligência Artificial.<br /><searchLink fieldCode="AU" term="%22Xavier+JS%22">Xavier JS</searchLink>; Universidade Federal de Minas Gerais.; Instituto René Rachou, Fundação Oswaldo Cruz.; Institute of Agricultural Sciences, Universidade Federal dos Vales do Jequitinhonha e Mucuri.<br /><searchLink fieldCode="AU" term="%22Ascher+DB%22">Ascher DB</searchLink>; School of Chemistry and Molecular Biosciences, University of Queensland.; Systems and Computational Biology, Bio 21 Institute, University of Melbourne.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute.<br /><searchLink fieldCode="AU" term="%22Fernandes+GR%22">Fernandes GR</searchLink>; Instituto René Rachou, Fundação Oswaldo Cruz.<br /><searchLink fieldCode="AU" term="%22Pires+DEV%22">Pires DEV</searchLink>; Systems and Computational Biology, Bio 21 Institute, University of Melbourne.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute.; School of Computing and Information Systems, University of Melbourne.
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  Data: <searchLink fieldCode="JN" term="%22100912837%22">Briefings in bioinformatics</searchLink> [Brief Bioinform] 2022 Jul 18; Vol. 23 (4).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100912837 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-4054 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214675463%22">14675463 </searchLink><i>NLM ISO Abbreviation: </i>Brief Bioinform <i>Subsets: </i>MEDLINE
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        Value: 10.1093/bib/bbac216
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              Text: 2022 Jul 18
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