The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data ; volume:29 ; number:1 ; day:28 ; month:11 ; year:2024 ; pages:1-29 ; date:12.2024
Middle East Fertility Society journal / Middle East Fertility Society ; 29, Heft 1 (28.11.2024), 1-29, 12.2024
- Creator
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Alur, Varun
Vastrad, Basavaraj
Raju, Varshita
Vastrad, Chanabasayya
Kotturshetti, Shivakumar
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s43043-024-00212-7
- URN
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urn:nbn:de:101:1-2502132101103.582898568225
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:28 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Alur, Varun
- Vastrad, Basavaraj
- Raju, Varshita
- Vastrad, Chanabasayya
- Kotturshetti, Shivakumar
- SpringerLink (Online service)
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