Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning
- 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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Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning ; volume:29 ; number:1 ; day:26 ; month:10 ; year:2023 ; pages:1-18 ; date:12.2023
Molecular medicine ; 29, Heft 1 (26.10.2023), 1-18, 12.2023
- Creator
-
Zhao, Yi
Wei, Yanjun
Fan, Lingjia
Nie, Yuanliu
Li, Jianan
Zeng, Renya
Li, Jixian
Zhan, Xiang
Lei, Lingli
Kang, Zhichao
Li, Jiaxin
Zhang, Wentao
Yang, Zhe
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s10020-023-00739-x
- URN
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urn:nbn:de:101:1-2024011511202268589633
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 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
- Zhao, Yi
- Wei, Yanjun
- Fan, Lingjia
- Nie, Yuanliu
- Li, Jianan
- Zeng, Renya
- Li, Jixian
- Zhan, Xiang
- Lei, Lingli
- Kang, Zhichao
- Li, Jiaxin
- Zhang, Wentao
- Yang, Zhe
- SpringerLink (Online service)
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