Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients
Wei Zhang, Ruiyue Dang, Hongyi Liu, Luohuan Dai, Hongwei Liu, Abraham Ayodeji Adegboro, Yihao Zhang, Wang Li, Kang Peng, Jidong Hong, Xuejun Li
The paper develops a machine learning framework to identify RCD-related genes in glioma, identifies SLC43A3 as an oncogenic biomarker, and proposes a gene pair signature for prognosis prediction.
Scientific Reports · Feb 20, 2024Peer-reviewedBioinformatics