Based on machine learning, CDC20 has been identified as a biomarker for postoperative recurrence and progression in stage I & II lung adenocarcinoma patients

Based on machine learning, CDC20 has been identified as a biomarker for postoperative recurrence and progression in stage I & II lung adenocarcinoma patients

ObjectiveBy utilizing machine learning, we can identify genes that are associated with recurrence, invasion, and tumor stemness, thus uncovering new therapeutic targets.MethodsTo begin, we obtained a gene set related to recurrence and invasion from the GEO database, a comprehensive gene expression d...

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Bibliographic Details
Main Authors: Rui Miao, Zhi Xu, Tao Han, Yafeng Liu, Jiawei Zhou, Jianqiang Guo, Yingru Xing, Ying Bai, Zhonglei He, Jing Wu, Wenxin Wang, Dong Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-07-01
Series:Frontiers in Oncology
Subjects:
machine learning
lung adenocarcinoma
recurrence
invasion
CDC20
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1351393/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1351393/full

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