A computational model of cellular metabolism with mutation data predicts metabolites associated with somatic mutations in cancers

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 61
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorLee, Sang Miko
dc.contributor.authorLee, GaRyoungko
dc.contributor.authorLee, Sungyoungko
dc.contributor.authorSong, Hyojinko
dc.contributor.authorYoon, Sung Sooko
dc.contributor.authorYun, Hongseokko
dc.contributor.authorKoh, Youngilko
dc.contributor.authorKim, Hyun Ukko
dc.date.accessioned2022-11-18T01:00:50Z-
dc.date.available2022-11-18T01:00:50Z-
dc.date.created2022-04-16-
dc.date.issued2022-04-13-
dc.identifier.citationAACR Annual Meeting 2022-
dc.identifier.urihttp://hdl.handle.net/10203/299884-
dc.languageEnglish-
dc.publisherAmerican Association for Cancer Research (AACR)-
dc.titleA computational model of cellular metabolism with mutation data predicts metabolites associated with somatic mutations in cancers-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameAACR Annual Meeting 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationErnest N. Morial Convention Center-
dc.contributor.localauthorKim, Hyun Uk-
dc.contributor.nonIdAuthorLee, Sungyoung-
dc.contributor.nonIdAuthorSong, Hyojin-
dc.contributor.nonIdAuthorYoon, Sung Soo-
dc.contributor.nonIdAuthorYun, Hongseok-
dc.contributor.nonIdAuthorKoh, Youngil-
Appears in Collection
CBE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0