High-quality and high-throughput prediction of enzyme commission (EC) numbers using machine learning

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dc.contributor.authorKim, Hyun Ukko
dc.date.accessioned2021-10-06T23:50:25Z-
dc.date.available2021-10-06T23:50:25Z-
dc.date.created2021-10-03-
dc.date.issued2021-09-27-
dc.identifier.citationArtificial Intelligence for Natural Product Drug Discovery-
dc.identifier.urihttp://hdl.handle.net/10203/288072-
dc.languageEnglish-
dc.publisherLorentz Center-
dc.titleHigh-quality and high-throughput prediction of enzyme commission (EC) numbers using machine learning-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameArtificial Intelligence for Natural Product Drug Discovery-
dc.identifier.conferencecountryNE-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorKim, Hyun Uk-
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CBE-Conference Papers(학술회의논문)
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