Nonnegative Matrix Factorization Framework for Disease-Related CircRNA Prediction. - Cheng Yang; Li Peng; Wei Liu 150; Xiangzheng Fu; Ni Li (ICA3PP (3), 2021)

Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder. - Wei Liu 150; Hui Lin; Li Huang; Li Peng; Ting Tang; Qi Zhao; Li Yang (Briefings Bioinform., 2022)

NSCGRN: a network structure control method for gene regulatory network inference. - Wei Liu 150; Xingen Sun; Li Yang; Kaiwen Li; Yu Yang; Xiangzheng Fu (Briefings Bioinform., 2022)

RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation. - Li Peng; Cheng Yang; Li Huang; Xiang Chen; Xiangzheng Fu; Wei Liu 150 (Briefings Bioinform., 2022)

NSRGRN: a network structure refinement method for gene regulatory network inference. - Wei Liu 150; Yu Yang; Xu Lu 002; Xiangzheng Fu; Ruiqing Sun; Li Yang; Li Peng (Briefings Bioinform., 2023)

Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network. - Li Peng; Cheng Yang; Yifan Chen; Wei Liu 150 (IEEE J. Biomed. Health Informatics, 2023)

MPCLCDA: predicting circRNA-disease associations by using automatically selected meta-path and contrastive learning. - Wei Liu 150; Ting Tang; Xu Lu 002; Xiangzheng Fu; Yu Yang; Li Peng (Briefings Bioinform., 2023)

Dual-neighbourhood information aggregation and feature fusion for prediction of miRNA-disease association. - Wei Liu 150; Zixin Lan; Zejun Li; Xingen Sun; Xu Lu 002 (Comput. Biol. Medicine, 2024)

scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery. - Wei Liu 150; Youze Pan; Zhijie Teng; Junlin Xu (IEEE J. Biomed. Health Informatics, 2024)