A deep learning-based method DeepEC for high-quality and high-throughput prediction of enzyme commission numbers
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김현욱 | ko |
| dc.date.accessioned | 2020-03-19T01:36:44Z | - |
| dc.date.available | 2020-03-19T01:36:44Z | - |
| dc.date.created | 2020-02-04 | - |
| dc.date.issued | 2020-02-03 | - |
| dc.identifier.citation | 제9회 한국효소공학연구회 동계심포지엄 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/272458 | - |
| dc.language | Korean | - |
| dc.publisher | 한국효소공학연구회 | - |
| dc.title | A deep learning-based method DeepEC for high-quality and high-throughput prediction of enzyme commission numbers | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 제9회 한국효소공학연구회 동계심포지엄 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 경주 더케이호텔 | - |
| dc.contributor.localauthor | 김현욱 | - |
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