| Inferring LncRNA-disease associations based on graph autoencoder matrix completion X Wu, W Lan, Q Chen, Y Dong, J Liu, W Peng Computational Biology and Chemistry 87, 107282, 2020 | 31 | 2020 |
| KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network W Lan, Y Dong, Q Chen, R Zheng, J Liu, Y Pan, YPP Chen Briefings in Bioinformatics 23 (1), bbab494, 2022 | 15 | 2022 |
| IGNSCDA: predicting CircRNA-disease associations based on improved graph convolutional network and negative sampling W Lan, Y Dong, Q Chen, J Liu, J Wang, YPP Chen, S Pan IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 9 | 2021 |
| DRGCNCDA: Predicting circRNA-disease interactions based on knowledge graph and disentangled relational graph convolutional network W Lan, H Zhang, Y Dong, Q Chen, J Cao, W Peng, J Liu, M Li Methods 208, 35-41, 2022 | 1 | 2022 |
| Benchmarking of computational methods for predicting circRNA-disease associations W Lan, Y Dong, H Zhang, C Li, Q Chen, J Liu, J Wang, YPP Chen Briefings in Bioinformatics 24 (1), bbac613, 2023 | | 2023 |
