MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI. - Jialiang Li 004; Zhaomin Yao; Meiyu Duan; Shuai Liu 010; Fei Li 039; Haiyang Zhu; Zhiqiang Xia; Lan Huang 002; Fengfeng Zhou (IEEE Access, 2020)

Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall. - Shuai Liu 010; Han Li; Qichen Zheng; Lu Yang; Meiyu Duan; Xin Feng 004; Fei Li 039; Lan Huang 002; Fengfeng Zhou (IEEE Access, 2021)

HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction. - Yaqi Zhang; Gancheng Zhu; Kewei Li; Fei Li 039; Lan Huang 002; Meiyu Duan; Fengfeng Zhou (Briefings Bioinform., 2022)

EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species. - Fei Li 039; Shuai Liu 010; Kewei Li; Yaqi Zhang; Meiyu Duan; Zhaomin Yao; Gancheng Zhu; Yutong Guo; Ying Wang; Lan Huang 002; Fengfeng Zhou (Comput. Biol. Medicine, 2023)

GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions. - Gancheng Zhu; Yusi Fan; Fei Li 039; Annebella Tsz Ho Choi; Zhikang Tan; Yiruo Cheng; Kewei Li; Siyang Wang; Changfan Luo; Hongmei Liu; Gongyou Zhang; Zhaomin Yao; et al. (Expert Syst. Appl., 2023)