Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning
Dazhi Lu, Yan Zheng, Xianyanling Yi, Jianye Hao, Xi Zeng, Lu Han, Zhigang Li, Shaoqing Jiao, Bei Jiang, Jianzhong Ai, Jiajie Peng
This paper introduces RL-GenRisk, a deep reinforcement learning method for identifying ccRCC risk genes, which outperforms existing methods and identifies ten novel risk genes, including validated EGFR.
Nature Communications · Apr 15, 2025Peer-reviewedBioinformatics