A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1475-2867
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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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
- Urheber
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Shen, Yujie
Huang, Qiang
Zhang, Yifan
Hsueh, Chi-Yao
Zhou, Liang
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12935-022-02647-2
- URN
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urn:nbn:de:101:1-2022083023150548919949
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
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Beteiligte
- Shen, Yujie
- Huang, Qiang
- Zhang, Yifan
- Hsueh, Chi-Yao
- Zhou, Liang
- SpringerLink (Online service)
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