Identifying the Role of Disulfidptosis in Endometrial Cancer via Machine Learning Methods

Identifying the Role of Disulfidptosis in Endometrial Cancer via Machine Learning Methods

Uterine corpus endometrial carcinoma (UCEC) is the second most common gynecological cancer in the world. With the increased occurrence of UCEC and the stagnation of research in the field, there is a pressing need to identify novel UCEC biomarkers. Disulfidptosis is a novel form of cell death, but it...

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Bibliographic Details
Main Authors: Fei Fu, Xuesong Lu, Zhushanying Zhang, Zhi Li, Qinlan Xie
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:BioMedInformatics
Subjects:
disulfidptosis
endometrial cancer
machine learning
LRPPRC
ceRNA
risk prediction model
Online Access:https://www.mdpi.com/2673-7426/3/4/56

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