High-quality and high-throughput prediction of enzyme commission numbers using deep learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김현욱 | ko |
| dc.date.accessioned | 2019-09-20T09:20:13Z | - |
| dc.date.available | 2019-09-20T09:20:13Z | - |
| dc.date.created | 2019-08-27 | - |
| dc.date.created | 2019-08-27 | - |
| dc.date.issued | 2019-08-26 | - |
| dc.identifier.citation | BIOINFO 2019 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/267616 | - |
| dc.language | English | - |
| dc.publisher | 한국생명정보학회 | - |
| dc.title | High-quality and high-throughput prediction of enzyme commission numbers using deep learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | BIOINFO 2019 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 이화여자대학교 ECC | - |
| dc.contributor.localauthor | 김현욱 | - |
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