Prognostic value of anoikis-related genes revealed using multi-omics analysis and machine learning based on lower-grade glioma features and tumor immune microenvironment
基于低级别胶质瘤特征和肿瘤免疫微环境的多组学分析和机器学习揭示了失巢凋亡相关基因的预后价值
期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2024.e36989
Linazi, Gu; Maimaiti, Aierpati; Abulaiti, Zulihuma; Shi, Hui; Zhou, Zexin; Aisa, Mizhati Yimiti; Kang, Yali; Abulimiti, Ayguzaili; Dilimulati, Xierzhati; Zhang, Tiecheng; Wusiman, Patiman; Wang, Zengliang; Abulaiti, Aimitaji
