LASSO and Bioinformatics Analysis in the Identification of Key Genes for Prognostic Genes of Gynecologic Cancer

The aim of this study is to identify potential biomarkers for early diagnosis of gynecologic cancer in order to improve survival. Cervical cancer (CC) and endometrial cancer (EC) are the most common malignant tumors of gynecologic cancer among women in the world. As the underlying molecular mechanis...

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Bibliographic Details
Main Authors: Shao-Hua Yu, Jia-Hua Cai, De-Lun Chen, Szu-Han Liao, Yi-Zhen Lin, Yu-Ting Chung, Jeffrey J. P. Tsai, Charles C. N. Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/11/11/1177