Identification of HOXB9 to predict prognosis of endometrial cancer based on comprehensive bioinformatics analysis
- 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 HOXB9 to predict prognosis of endometrial cancer based on comprehensive bioinformatics analysis ; volume:28 ; number:1 ; day:17 ; month:2 ; year:2023 ; pages:1-16 ; date:12.2023
European journal of medical research ; 28, Heft 1 (17.2.2023), 1-16, 12.2023
- Creator
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Xu, Yanhua
Zhang, Mu
Shi, Qin
Cheng, Xi
Du, Rong
Li, Chenglu
Zhang, Yuquan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40001-022-00979-3
- URN
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urn:nbn:de:101:1-2023042421015981224152
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:58 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Xu, Yanhua
- Zhang, Mu
- Shi, Qin
- Cheng, Xi
- Du, Rong
- Li, Chenglu
- Zhang, Yuquan
- SpringerLink (Online service)
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Glycometabolism and lipid metabolism related genes predict the prognosis of endometrial carcinoma and their effects on tumor cells
Comprehensive bioinformatics analysis of acquired progesterone resistance in endometrial cancer cell line
Identification of inflammatory-related gene signatures to predict prognosis of endometrial carcinoma
Identification of hub genes distinguishing subtypes in endometrial stromal sarcoma through comprehensive bioinformatics analysis
Identification of autophagy-related long non-coding RNAs in endometrial cancer via comprehensive bioinformatics analysis
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