Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
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Publisher
England: Oxford University Press
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Language
English
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Publisher
England: Oxford University Press
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Abstract
Conventional supervised binary classification algorithms have been widely applied to address significant research questions using biological and biomedical data. This classification scheme requires two fully labeled classes of data (e.g. positive and negative samples) to train a classification model. However, in many bioinformatics appl...
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Full title
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
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TN_cdi_proquest_miscellaneous_2593026428
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2593026428
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ISSN
1467-5463
E-ISSN
1477-4054
DOI
10.1093/bib/bbab461
