The authors developed a concise and efficient survival analysis model, named CNN-Cox. The survival prediction performance of this model on RNA-seq datasets of various cancers from The Cancer Genome Atlas cohort was discussed and compared with other state-of-the-art survival analysis methods. They also conducted protein–protein interaction network analysis to identify potential prognostic genes and analyzed the biological function of 13 hub genes for a lung adenocarcinoma dataset.
- Qingyan Yin
- Wangwang Chen
- Zhi Wei
