A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1475-2867
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma ; volume:22 ; number:1 ; day:8 ; month:7 ; year:2022 ; pages:1-16 ; date:12.2022
Cancer cell international ; 22, Heft 1 (8.7.2022), 1-16, 12.2022
- Creator
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Shen, Yujie
Huang, Qiang
Zhang, Yifan
Hsueh, Chi-Yao
Zhou, Liang
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12935-022-02647-2
- URN
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urn:nbn:de:101:1-2022083023150548919949
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Shen, Yujie
- Huang, Qiang
- Zhang, Yifan
- Hsueh, Chi-Yao
- Zhou, Liang
- SpringerLink (Online service)
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