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dc.contributor.authorLee, Jun-Seok-
dc.contributor.authorKim, Yun Kyung-
dc.contributor.authorKim, Han Jo-
dc.contributor.authorHajar, Siti-
dc.contributor.authorTan, Yee Ling-
dc.contributor.authorKang, Nam-Young-
dc.contributor.authorNg, Shin Hui-
dc.contributor.authorYoon, Chang No-
dc.contributor.authorChang, Young-Tae-
dc.date.accessioned2024-01-20T15:30:57Z-
dc.date.available2024-01-20T15:30:57Z-
dc.date.created2021-09-05-
dc.date.issued2012-02-23-
dc.identifier.issn1932-6203-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/129526-
dc.description.abstractUniversal phenotyping techniques that can discriminate among various states of biological systems have great potential. We applied 557 fluorescent library compounds to NCI's 60 human cancer cell-lines (NCI-60) to generate a systematic fluorescence phenotypic profiling data. By the kinetic fluorescence intensity analysis, we successfully discriminated the organ origin of all the 60 cell-lines.-
dc.languageEnglish-
dc.publisherPUBLIC LIBRARY SCIENCE-
dc.subjectPHENOTYPES-
dc.subjectMOLECULES-
dc.subjectPATTERNS-
dc.subjectLIBRARY-
dc.subjectCONTEXT-
dc.subjectPROBE-
dc.titleIdentification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening-
dc.typeArticle-
dc.identifier.doi10.1371/journal.pone.0032096-
dc.description.journalClass1-
dc.identifier.bibliographicCitationPLOS ONE, v.7, no.2-
dc.citation.titlePLOS ONE-
dc.citation.volume7-
dc.citation.number2-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000302916100052-
dc.identifier.scopusid2-s2.0-84863149939-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.type.docTypeArticle-
dc.subject.keywordPlusPHENOTYPES-
dc.subject.keywordPlusMOLECULES-
dc.subject.keywordPlusPATTERNS-
dc.subject.keywordPlusLIBRARY-
dc.subject.keywordPlusCONTEXT-
dc.subject.keywordPlusPROBE-
dc.subject.keywordAuthorfluorescence probe-
dc.subject.keywordAuthorimage-based analysis-
dc.subject.keywordAuthorphenomic screening-
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