- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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Understanding polycystic ovary syndrome in light of associated key genes ; volume:24 ; number:1 ; day:12 ; month:6 ; year:2023 ; pages:1-15 ; date:12.2023
The Egyptian journal of medical human genetics ; 24, Heft 1 (12.6.2023), 1-15, 12.2023
- Creator
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Bhimwal, Tanisha
Puneet
Priyadarshani, Anjali
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s43042-023-00418-w
- URN
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urn:nbn:de:101:1-2023091913513296825106
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:56 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bhimwal, Tanisha
- Puneet
- Priyadarshani, Anjali
- SpringerLink (Online service)
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Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
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Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis
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Identification of key genes and miRNAs related to polycystic ovary syndrome by comprehensive analysis of microarray
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The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data
Identification of potential diagnostic genes for atherosclerosis in women with polycystic ovary syndrome
Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
Hyperandrogenism in women : beyond polycystic ovary syndrome
Computational characterization and identification of human polycystic ovary syndrome genes
Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis
Identification and validation of senescence-related genes in polycystic ovary syndrome
Identification of key genes and miRNAs related to polycystic ovary syndrome by comprehensive analysis of microarray
Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
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Intrauterine Environment and Polycystic Ovary Syndrome
Acromegaly, Polycystic Ovary, and Other Stories
The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data
Identification of potential diagnostic genes for atherosclerosis in women with polycystic ovary syndrome
Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules