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Predicting autism spectrum disorder using blood-based gene expression signatures and machine learning

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dc.contributor.author김석현-
dc.date.accessioned2021-08-03T00:52:48Z-
dc.date.available2021-08-03T00:52:48Z-
dc.date.created2021-06-30-
dc.date.issued2017-09-04-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/31449-
dc.publisherEuropean College of Neuropsychopharmacology (ECNP)-
dc.titlePredicting autism spectrum disorder using blood-based gene expression signatures and machine learning-
dc.typeConference-
dc.contributor.affiliatedAuthor김석현-
dc.identifier.bibliographicCitation30th European College of Neuropsychopharmacology (ECNP) Congress-
dc.relation.isPartOf30th European College of Neuropsychopharmacology (ECNP) Congress-
dc.citation.title30th European College of Neuropsychopharmacology (ECNP) Congress-
dc.citation.conferencePlace프랑스 파리-
dc.type.rimsCONF-
dc.description.journalClass1-
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서울 의과대학 > 서울 정신건강의학교실 > 2. Conference Papers

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