E-GWAS: an ensemble-like GWAS strategy that provides effective control over false positive rates without decreasing true positives
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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E-GWAS: an ensemble-like GWAS strategy that provides effective control over false positive rates without decreasing true positives ; volume:55 ; number:1 ; day:5 ; month:7 ; year:2023 ; pages:1-17 ; date:12.2023
Genetics, selection, evolution ; 55, Heft 1 (5.7.2023), 1-17, 12.2023
- Urheber
-
Zhou, Guang-Liang
Xu, Fang-Jun
Qiao, Jia-Kun
Che, Zhao-Xuan
Xiang, Tao
Liu, Xiao-Lei
Li, Xin-Yun
Zhao, Shu-Hong
Zhu, Meng-Jin
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12711-023-00820-3
- URN
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urn:nbn:de:101:1-2023100408421919228076
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:55 MESZ
Datenpartner
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Beteiligte
- Zhou, Guang-Liang
- Xu, Fang-Jun
- Qiao, Jia-Kun
- Che, Zhao-Xuan
- Xiang, Tao
- Liu, Xiao-Lei
- Li, Xin-Yun
- Zhao, Shu-Hong
- Zhu, Meng-Jin
- SpringerLink (Online service)
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