Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients

Zihao Wang, Yaning Wang, Tianrui Yang, Hao Xing, Yuekun Wang, Lu Gao, Xiaopeng Guo, Bing Xing, Yu Wang, Wenbin Ma. Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients. Briefings in Bioinformatics, 22(5), 2021. [doi]

Abstract

Abstract is missing.