Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma.
Meng-Xiang LiXiao-Meng SunWei-Gang ChengHao-Jie RuanKe LiuPan ChenHai-Jun XuShe-Gan GaoXiao-Shan FengYi-Jun QiPublished in: BMC cancer (2021)
The occurrence frequencies across various feature selection approaches reflect the degree of clinical importance and stratifin is an optimal prognostic biomarker for ESCC.