Definition of a New Metric With Mutual Exclusivity and Coverage for Identifying Cancer Driver Modules. - Wei Zhang 089; Yue Liu 041; Lei Wang 069 (IEEE Access, 2020)

A neural collaborative filtering method for identifying miRNA-disease associations. - Yue Liu 041; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Wen Li 009 (Neurocomputing, 2021)

Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data. - Wei Zhang 089; Shu-Lin Wang; Yue Liu 041 (J. Comput. Biol., 2021)

DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. - Yue Liu 041; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Su Zhou; Wen Li 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A heterogeneous graph cross-omics attention model for single-cell representation learning. - Yue Liu 041; Junfeng Zhang; Shulin Wang; Wei Zhang 089; Xiangxiang Zeng; Chee Keong Kwoh 001 (BIBM, 2022)

Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? - Yue Liu 041; Junfeng Zhang; Shu-Lin Wang; Xiangxiang Zeng; Wei Zhang 089 (Briefings Bioinform., 2022)

LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization. - Yue Liu 041; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Wen Li 009 (IEEE Access, 2023)