ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. - Yan Hu; Ziqiang Wang; Hailin Hu 002; Fangping Wan; Lin Chen; Yuanpeng Xiong; Xiaoxia Wang; Dan Zhao 004; Weiren Huang; Jianyang Zeng 001 (Bioinform., 2019)

DeepRCI: predicting RNA-chromatin interactions via deep learning with multi-omics data. - Yuanpeng Xiong; Xuan He; Dan Zhao 004; Tao Jiang 001; Jianyang Zeng 001 (Quant. Biol., 2023)

HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer. - Xiaopeng Xu; Chencheng Xu; Wenjia He; Lesong Wei; Haoyang Li; Juexiao Zhou; Ruochi Zhang; Yu Wang 225; Yuanpeng Xiong; Xin Gao 001 (Bioinform., 2024)

PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction. - Kexin Shi; Yuanpeng Xiong; Yu Wang 225; Yifan Deng; Wenjia Wang; Bingyi Jing; Xin Gao 001 (Bioinform., 2024)