Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma. - Hao Zhang; Nan Zhang; Wantao Wu; Ran Zhou; Shuyu Li; Zeyu Wang; Ziyu Dai; Liyang Zhang; Zaoqu Liu; Jian Zhang; Peng Luo 005; Zhixiong Liu; et al. (Briefings Bioinform., 2022)

Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. - Shuang Qiu; Ziyu Dai; Han Zhong 001; Zhaoran Wang 001; Zhuoran Yang; Tong Zhang 001 (NeurIPS, 2023)

Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses. - Shuyu Li; Nan Zhang; Hao Zhang; Ran Zhou; Zirui Li; Xue Yang; Wantao Wu; Hanning Li; Peng Luo 005; Zeyu Wang; Ziyu Dai; Xisong Liang; et al. (J. Big Data, 2023)

Prognostic significance of a 3-gene ferroptosis-related signature in lung cancer via LASSO analysis and cellular functions of UBE2Z. - Bin Xie; Qiong Chen; Ziyu Dai; Chen Jiang; Jingyi Sun; Anqi Guan; Xi Chen (Comput. Biol. Chem., 2024)

Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis. - Xisong Liang; Jie Wen; Chunrun Qu; Nan Zhang; Ziyu Dai; Hao Zhang; Peng Luo 005; Ming Meng; Zhixiong Liu; Fan Fan; Quan Cheng (J. Big Data, 2024)