HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. - Wen-Yu Xi; Qianqian Ren; Jin-Xing Liu 001; Ying-Lian Gao (BIBM, 2022)

LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. - Xu-Ran Dou; Wen-Yu Xi; Tian-Ru Wu; Cui-Na Jiao; Jin-Xing Liu 001; Ying-Lian Gao (ICIC (3), 2023)

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. - Wen-Yu Xi; Feng Zhou 021; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. - Jin-Xing Liu 001; Wen-Yu Xi; Ling-Yun Dai; Chun-Hou Zheng 001; Ying-Lian Gao (CoRR, 2024)

LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. - Wen-Yu Xi; Juan Wang 003; Yu-Lin Zhang; Jin-Xing Liu 001; Ying-Lian Gao (CoRR, 2024)

An interpretable deep learning model predicts RNA-small molecule binding sites. - Wen-Yu Xi; Ruheng Wang; Li Wang; Xiucai Ye; Mingyang Liu; Tetsuya Sakurai (Future Gener. Comput. Syst., 2024)