| Graph embedding on biomedical networks: methods, applications and evaluations X Yue, Z Wang, J Huang, S Parthasarathy, S Moosavinasab, Y Huang, ... Bioinformatics 36 (4), 1241-1251, 2020 | 408 | 2020 |
| A multimodal deep learning framework for predicting drug–drug interaction events Y Deng, X Xu, Y Qiu, J Xia, W Zhang, S Liu Bioinformatics 36 (15), 4316-4322, 2020 | 326 | 2020 |
| Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data W Zhang, Y Chen, F Liu, F Luo, G Tian, X Li BMC bioinformatics 18, 1-12, 2017 | 323 | 2017 |
| Predicting drug–disease associations through layer attention graph convolutional network Z Yu, F Huang, X Zhao, W Xiao, W Zhang Briefings in bioinformatics 22 (4), bbaa243, 2021 | 318 | 2021 |
| Predicting drug-disease associations by using similarity constrained matrix factorization W Zhang, X Yue, W Lin, W Wu, R Liu, F Huang, F Liu BMC bioinformatics 19, 1-12, 2018 | 262 | 2018 |
| Predicting drug side effects by multi-label learning and ensemble learning W Zhang, F Liu, L Luo, J Zhang BMC bioinformatics 16, 1-11, 2015 | 200 | 2015 |
| Predicting potential side effects of drugs by recommender methods and ensemble learning W Zhang, H Zou, L Luo, Q Liu, W Wu, W Xiao Neurocomputing 173, 979-987, 2016 | 154 | 2016 |
| The linear neighborhood propagation method for predicting long non-coding RNA–protein interactions W Zhang, Q Qu, Y Zhang, W Wang Neurocomputing 273, 526-534, 2018 | 150 | 2018 |
| SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions W Zhang, X Yue, G Tang, W Wu, F Huang, X Zhang PLoS computational biology 14 (12), e1006616, 2018 | 146 | 2018 |
| SFLLN: a sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions W Zhang, K Jing, F Huang, Y Chen, B Li, J Li, J Gong Information Sciences 497, 189-201, 2019 | 138 | 2019 |
| Manifold regularized matrix factorization for drug-drug interaction prediction W Zhang, Y Chen, D Li, X Yue Journal of biomedical informatics 88, 90-97, 2018 | 125 | 2018 |
| Prediction of conformational B-cell epitopes from 3D structures by random forests with a distance-based feature W Zhang, Y Xiong, M Zhao, H Zou, X Ye, J Liu BMC bioinformatics 12, 1-10, 2011 | 111 | 2011 |
| MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks H Fu, F Huang, X Liu, Y Qiu, W Zhang Bioinformatics 38 (2), 426-434, 2022 | 95 | 2022 |
| A fast linear neighborhood similarity-based network link inference method to predict microRNA-disease associations W Zhang, Z Li, W Guo, W Yang, F Huang IEEE/ACM transactions on computational biology and bioinformatics 18 (2 …, 2019 | 92 | 2019 |
| Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network W Zhang, X Yue, F Huang, R Liu, Y Chen, C Ruan Methods 145, 51-59, 2018 | 89 | 2018 |
| Feature-derived graph regularized matrix factorization for predicting drug side effects W Zhang, X Liu, Y Chen, W Wu, W Wang, X Li Neurocomputing 287, 154-162, 2018 | 88 | 2018 |
| Drug-target interaction prediction through label propagation with linear neighborhood information W Zhang, Y Chen, D Li Molecules 22 (12), 2056, 2017 | 86 | 2017 |
| IRWNRLPI: integrating random walk and neighborhood regularized logistic matrix factorization for lncRNA-protein interaction prediction Q Zhao, Y Zhang, H Hu, G Ren, W Zhang, H Liu Frontiers in genetics 9, 239, 2018 | 85 | 2018 |
| GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction X Liu, C Song, F Huang, H Fu, W Xiao, W Zhang Briefings in Bioinformatics 23 (1), bbab457, 2022 | 82 | 2022 |
| A comprehensive review of computational methods for drug-drug interaction detection Y Qiu, Y Zhang, Y Deng, S Liu, W Zhang IEEE/ACM transactions on computational biology and bioinformatics 19 (4 …, 2021 | 82 | 2021 |
Xiang YueCarnegie Mellon UniversityVerified email at andrew.cmu.edu