Prediction of oncometabolite candidates in cancers by using genome-scale metabolic models and mutation data
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김현욱 | ko |
| dc.date.accessioned | 2022-12-19T06:00:40Z | - |
| dc.date.available | 2022-12-19T06:00:40Z | - |
| dc.date.created | 2022-12-18 | - |
| dc.date.issued | 2022-12-06 | - |
| dc.identifier.citation | AI 기반 디지털 바이오 심포지엄 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/303197 | - |
| dc.language | Korean | - |
| dc.publisher | KAIST | - |
| dc.title | Prediction of oncometabolite candidates in cancers by using genome-scale metabolic models and mutation data | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | AI 기반 디지털 바이오 심포지엄 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | KI빌딩 매트릭스홀 | - |
| dc.contributor.localauthor | 김현욱 | - |
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