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Prediction of Circadian Clock with Combination of One point Expression Profiles of Ten Circadian Clock Genes of Circadian rhythm Prediction Model

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dc.contributor.authorLee, Taek-
dc.contributor.authorKim, Soojin-
dc.contributor.authorMoon, Joung-Ho-
dc.contributor.authorCho, Chul-Hyun-
dc.contributor.authorYang, Kyung-Sook-
dc.contributor.authorIn, Hoh Peter-
dc.contributor.authorGeum, Dongho-
dc.contributor.authorLee, Heon-Jeong-
dc.date.accessioned2021-09-03T23:11:35Z-
dc.date.available2021-09-03T23:11:35Z-
dc.date.created2021-06-18-
dc.date.issued2016-06-
dc.identifier.issn1461-1457-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/88415-
dc.languageEnglish-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS-
dc.titlePrediction of Circadian Clock with Combination of One point Expression Profiles of Ten Circadian Clock Genes of Circadian rhythm Prediction Model-
dc.typeArticle-
dc.contributor.affiliatedAuthorIn, Hoh Peter-
dc.contributor.affiliatedAuthorGeum, Dongho-
dc.contributor.affiliatedAuthorLee, Heon-Jeong-
dc.identifier.wosid000383917600853-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, v.19, pp.315 - 315-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY-
dc.citation.titleINTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY-
dc.citation.volume19-
dc.citation.startPage315-
dc.citation.endPage315-
dc.type.rimsART-
dc.type.docTypeMeeting Abstract-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalResearchAreaPsychiatry-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.relation.journalWebOfScienceCategoryPharmacology & Pharmacy-
dc.relation.journalWebOfScienceCategoryPsychiatry-
dc.subject.keywordAuthorcircadian rhythm-
dc.subject.keywordAuthorcircadian clock gene-
dc.subject.keywordAuthorcircadian clock prediction model-
dc.subject.keywordAuthormachine learning-
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