Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view, Bowen Wang, Junyou Li, Donghao Zhou, Lanqing Li, Jinpeng Li, Ercheng Wang, Jianye Hao, Liang Shi, Chengqiang Lu, Jiezhong Qiu, Tingjun Hou, Dongsheng Cao, Guangyong Chen, Pheng Ann Heng. Nature Communications: 2025/9/30
点击次数:
上一条: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. Nature Communications: 2025/4/15
下一条:Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey, Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang. IEEE Transactions on Evolutionary Computation: 2024