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 - Wang, Zihao; Wang, Yaning; Yang, Tianrui; Xing, Hao; Wang, Yuekun; Gao, Lu; Guo, Xiaopeng; Xing, Bing; Wang, Yu; Ma, Wenbin (Briefings in bioinformatics, 2021)
Keywords: Problem Solving Protocol; stemness subgroup; integrated multiomic analysis; glioblastoma; mRNAsi; immunotherapy