Artificial Cells, Nanomedicine, and Biotechnology
An International Journal
Volume 51, 2023 - Issue 1
Open access
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Research Article
Identification of stemness subtypes and features to improve endometrial cancer treatment using machine learning
Xiaoqin LuDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Chinahttps://orcid.org/0000-0002-4136-6776View further author information
, Yanqi YingDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaView further author information
, Wenyi ZhangDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaView further author information
, Rui LiDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaView further author information
& Wuliang WangDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-0061-5043View further author information
https://orcid.org/0000-0002-0061-5043View further author information
Pages 57-73
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Received 20 Jul 2022, Accepted 29 Nov 2022, Published online: 07 Feb 2023
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