DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeon, Junhyeok | ko |
dc.contributor.author | Lee, Sang Mi | ko |
dc.contributor.author | Lee, GaRyoung | ko |
dc.contributor.author | Kim, Hyun Uk | ko |
dc.date.accessioned | 2020-06-29T08:20:22Z | - |
dc.date.available | 2020-06-29T08:20:22Z | - |
dc.date.created | 2020-06-26 | - |
dc.date.created | 2020-06-26 | - |
dc.date.issued | 2020-06-24 | - |
dc.identifier.citation | AACR Annual Meeting (replaced as AACR Virtual Annual Meeting II) | - |
dc.identifier.uri | http://hdl.handle.net/10203/275002 | - |
dc.language | English | - |
dc.publisher | American Association for Cancer Research (AACR) | - |
dc.title | Predicting the effects of small molecules on transcriptome of cancer cell lines using deep learning | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | AACR Annual Meeting (replaced as AACR Virtual Annual Meeting II) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual | - |
dc.contributor.localauthor | Kim, Hyun Uk | - |
dc.contributor.nonIdAuthor | Jeon, Junhyeok | - |
dc.contributor.nonIdAuthor | Lee, Sang Mi | - |
dc.contributor.nonIdAuthor | Lee, GaRyoung | - |
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