Identification of DNA methylation signatures for hepatocellular carcinoma detection and microvascular invasion prediction
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2047-783X
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Identification of DNA methylation signatures for hepatocellular carcinoma detection and microvascular invasion prediction ; volume:27 ; number:1 ; day:5 ; month:12 ; year:2022 ; pages:1-13 ; date:12.2022
European journal of medical research ; 27, Heft 1 (5.12.2022), 1-13, 12.2022
- Creator
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Hao, Yijie
Yang, Qingxia
He, Qiye
Hu, Huanjing
Weng, Zongpeng
Su, Zhixi
Chen, Shuling
Peng, Sui
Kuang, Ming
Chen, Zhihang
Xu, Lixia
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40001-022-00910-w
- URN
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urn:nbn:de:101:1-2023021521100512422862
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 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
- Hao, Yijie
- Yang, Qingxia
- He, Qiye
- Hu, Huanjing
- Weng, Zongpeng
- Su, Zhixi
- Chen, Shuling
- Peng, Sui
- Kuang, Ming
- Chen, Zhihang
- Xu, Lixia
- SpringerLink (Online service)
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Microvascular invasion (MVI) is a poorer prognostic predictor for small hepatocellular carcinoma
Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning
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Noninvasive urinary protein signatures combined clinical information associated with microvascular invasion risk in HCC patients
CTHRC1 modulates cell proliferation and invasion in hepatocellular carcinoma by DNA methylation
Prognostic significance of microvascular invasion in tumor stage for hepatocellular carcinoma
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Microvascular invasion (MVI) is a poorer prognostic predictor for small hepatocellular carcinoma
Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning
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Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals
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Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma
Precancer antiviral treatment reduces microvascular invasion of early-stage Hepatitis B-related hepatocellular carcinoma
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