Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. - Wen Li 009; Shulin Wang; Junlin Xu; Jialiang Yang (ICIC (2), 2020)

Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression. - Su Zhou; Shulin Wang; Qi Wu; Riasat Azim; Wen Li 009 (Comput. Biol. Chem., 2020)

LPI-FKLGCN: Predicting LncRNA-Protein Interactions Through Fast Kernel Learning and Graph Convolutional Network. - Wen Li 009; Shulin Wang; Hu Guo (ISBRA, 2021)

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

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

Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. - Wen Li 009; Shu-Lin Wang; Junlin Xu; Ju Xiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

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