Computational characterization and identification of human polycystic ovary syndrome genes
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Computational characterization and identification of human polycystic ovary syndrome genes ; volume:8 ; number:1 ; day:28 ; month:8 ; year:2018 ; pages:1-7 ; date:12.2018
Scientific reports ; 8, Heft 1 (28.8.2018), 1-7, 12.2018
- Urheber
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Zhang, Xing-Zhong
- Beteiligte Personen und Organisationen
-
Pang, Yan-Li
Wang, Xian
Li, Yan-Hui
SpringerLink (Online service)
- DOI
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10.1038/s41598-018-31110-4
- URN
-
urn:nbn:de:101:1-2018101621154020950341
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
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Beteiligte
- Zhang, Xing-Zhong
- Pang, Yan-Li
- Wang, Xian
- Li, Yan-Hui
- SpringerLink (Online service)
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