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Privacy-aware estimation of relatedness in admixed populations (vol 23, bbac473, 2022)

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dc.contributor.authorWang, Su-
dc.contributor.authorKim, Miran-
dc.contributor.authorLi, Wentao-
dc.contributor.authorJiang, Xiaoqian-
dc.contributor.authorChen, Han-
dc.date.accessioned2024-07-31T09:00:16Z-
dc.date.available2024-07-31T09:00:16Z-
dc.date.issued2024-01-
dc.identifier.issn1467-5463-
dc.identifier.issn1477-4054-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/194950-
dc.description.abstractIn the originally published version of this manuscript, author affiliations are not presented explicitly in the pdf version of the paper. The author affiliations should be represented in the following way within the PDF document: Su Wang and Wentao Li are graduate students working in genomics and privacy. Their current affiliation is The University of Texas Health Science Center Houston, D. Bradley McWilliams School of Biomedical Informatics. Miran Kim is an expert in genomic data security, cryptography, privacy, and algorithm development. Dr. Kim’s current affiliation is Hanyang University, Department of Mathematics, Seoul, Republic of Korea. Han Chen has broad expertise in statistical genetics. Dr. Chen’s current affiliation is The University of Texas Health Science Center Houston, School of Public Health. Arif Harmanci and Xiaoqian Jiang are researchers with focus on genomics, privacy, and AI/ML methods. Their current affiliation is The University of Texas Health Science Center Houston, D. Bradley McWilliams School of Biomedical Informatics. These details have been corrected only in this correction notice to preserve the published version of record.-
dc.format.extent1-
dc.language영어-
dc.language.isoENG-
dc.publisherOXFORD UNIV PRESS-
dc.titlePrivacy-aware estimation of relatedness in admixed populations (vol 23, bbac473, 2022)-
dc.title.alternativeCorrection to: Privacy-aware estimation of relatedness in admixed populations Erratum: Privacy-aware estimation of relatedness in admixed populations (Briefings in Bioinformatics (2022) 23: 6 (bbac473) DOI: 10.1093/bib/bbac473)-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1093/bib/bbae099-
dc.identifier.scopusid2-s2.0-85187499017-
dc.identifier.wosid001253138400063-
dc.identifier.bibliographicCitationBRIEFINGS IN BIOINFORMATICS, v.25, no.2, pp 1 - 1-
dc.citation.titleBRIEFINGS IN BIOINFORMATICS-
dc.citation.volume25-
dc.citation.number2-
dc.citation.startPage1-
dc.citation.endPage1-
dc.type.docTypeCorrection-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusalgorithm-
dc.subject.keywordPlusarticle-
dc.subject.keywordPlusbioinformatics-
dc.subject.keywordPluscomplication-
dc.subject.keywordPlusconsanguinity-
dc.subject.keywordPlusgenetic privacy-
dc.subject.keywordPlusgenetics-
dc.subject.keywordPlusgenomics-
dc.subject.keywordPlusgraduate student-
dc.subject.keywordPlushuman-
dc.subject.keywordPlusinformation science-
dc.subject.keywordPlusinformation security-
dc.subject.keywordPlusmachine learning-
dc.subject.keywordPlusnonhuman-
dc.subject.keywordPluspopulation-
dc.subject.keywordPlusprivacy-
dc.subject.keywordPluspublic health-
dc.subject.keywordPlusSouth Korea-
dc.subject.keywordPlusTexas-
dc.identifier.urlhttps://academic.oup.com/bib/article/25/2/bbae099/7615524?login=true-
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