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Bayesian mixed model inference for genetic association under related samples with brain network phenotype.

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Title: Bayesian mixed model inference for genetic association under related samples with brain network phenotype.
Authors: Tian, Xinyuan1, Wang, Yiting1, Wang, Selena1, Zhao, Yi2, Zhao, Yize1, yize.zhao@yale.edu
Source: Biostatistics; Oct2024, Vol. 25 Issue 4, p1195-1209, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180255607
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Bayesian mixed model inference for genetic association under related samples with brain network phenotype.
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  Data: <searchLink fieldCode="AU" term="%22Tian%2C+Xinyuan%22">Tian, Xinyuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yiting%22">Wang, Yiting</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Selena%22">Wang, Selena</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Yi%22">Zhao, Yi</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Yize%22">Zhao, Yize</searchLink><relatesTo>1</relatesTo>, <i>yize.zhao@yale.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Biostatistics%22">Biostatistics</searchLink>; Oct2024, Vol. 25 Issue 4, p1195-1209, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180255607
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/biostatistics/kxae008
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 1195
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      – TitleFull: Bayesian mixed model inference for genetic association under related samples with brain network phenotype.
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            NameFull: Tian, Xinyuan
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            NameFull: Wang, Yiting
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            NameFull: Wang, Selena
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            NameFull: Zhao, Yi
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            – D: 01
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              Text: Oct2024
              Type: published
              Y: 2024
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              Value: 25
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