Evaluating hierarchical machine learning approaches to classify biological databases.
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| Title: | Evaluating hierarchical machine learning approaches to classify biological databases. |
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| 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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| ISSN: | 1477-4054 |
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| DOI: | 10.1093/bib/bbac216 |
