Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics 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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Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data ; volume:8 ; number:1 ; day:5 ; month:1 ; year:2024 ; pages:1-16 ; date:12.2024
npj precision oncology ; 8, Heft 1 (5.1.2024), 1-16, 12.2024
- Creator
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Jiang, Lindong
Xu, Chao
Bai, Yuntong
Liu, Anqi
Gong, Yun
Wang, Yu-Ping
Deng, Hong-Wen
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41698-023-00494-6
- URN
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urn:nbn:de:101:1-2024031821192797866058
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 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
- Jiang, Lindong
- Xu, Chao
- Bai, Yuntong
- Liu, Anqi
- Gong, Yun
- Wang, Yu-Ping
- Deng, Hong-Wen
- SpringerLink (Online service)
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