Machine learning-based definition of cellular senescence reveals pro-senescence potential implication in lung adenocarcinoma
Lifei Ma, Huiyang Li, Yiling Li, Zhi-Ai Lin, Jia-Qi Li, Yu-zi ZHANG, Peng Zhang, Zehao Yao, Jialing Li, Min Xiong, Yinghao Cao, Ruidong Li, Chen Yang, Xiaoqiang Tang, Minjiang Chen, , HouZao Chen
This study introduces PreCSenM, a machine learning model that quantifies cellular senescence and identifies HDAC inhibitors as senescence inducers in lung adenocarcinoma.
Genome Medicine · Sep 7, 2026Peer-reviewedBioinformatics