Identification of stemness subtypes and features to improve endometrial cancer treatment using machine learning

Xiaoqin Lu, Yanqi Ying, Wenyi Zhang, Rui Li & Wuliang Wang
Endometrial cancer is one of the most common malignant tumours in women, and cancer stem cells are known to play an important role in its growth, invasion, metastasis, and drug resistance. Immunotherapy for endometrial cancer is still under research. In this study, a total of 547 endometrial cancer cases were randomly divided into training set (351 cases) set and test set (196 cases). The stemness index of patients was calculated using the One-Class Logistic Regression...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.