| Using weighted sparse representation model combined with discrete cosine transformation to predict protein-protein interactions from protein sequence YA Huang, ZH You, X Gao, L Wong, L Wang BioMed research international 2015, 2015 | 118 | 2015 |
| Detection of protein-protein interactions from amino acid sequences using a rotation forest model with a novel PR-LPQ descriptor L Wong, ZH You, S Li, YA Huang, G Liu Advanced Intelligent Computing Theories and Applications: 11th International …, 2015 | 76 | 2015 |
| Biomedical knowledge graph embedding with capsule network for multi-label drug-drug interaction prediction X Su, Z You, D Huang, L Wang, L Wong, B Ji, B Zhao IEEE Transactions on Knowledge and Data Engineering 35 (6), 5640-5651, 2022 | 54 | 2022 |
| Detection of interactions between proteins through rotation forest and local phase quantization descriptors L Wong, ZH You, Z Ming, J Li, X Chen, YA Huang International journal of molecular sciences 17 (1), 21, 2015 | 51 | 2015 |
| Fusing higher and lower-order biological information for drug repositioning via graph representation learning BW Zhao, L Wang, PW Hu, L Wong, XR Su, BQ Wang, ZH You, L Hu IEEE Transactions on Emerging Topics in Computing, 2023 | 44 | 2023 |
| An improved deep forest model for predicting self-interacting proteins from protein sequence using wavelet transformation ZH Chen, LP Li, Z He, JR Zhou, Y Li, L Wong Frontiers in Genetics 10, 90, 2019 | 38 | 2019 |
| A novel method to predict drug-target interactions based on large-scale graph representation learning BW Zhao, ZH You, L Hu, ZH Guo, L Wang, ZH Chen, L Wong Cancers 13 (9), 2111, 2021 | 35 | 2021 |
| SANE: a sequence combined attentive network embedding model for COVID-19 drug repositioning X Su, Z You, L Wang, L Hu, L Wong, B Ji, B Zhao Applied Soft Computing 111, 107831, 2021 | 31 | 2021 |
| Prediction of self-interacting proteins from protein sequence information based on random projection model and fast Fourier transform ZH Chen, ZH You, LP Li, YB Wang, L Wong, HC Yi International journal of molecular sciences 20 (4), 930, 2019 | 30 | 2019 |
| GNMFLMI: graph regularized nonnegative matrix factorization for predicting LncRNA-MiRNA interactions MN Wang, ZH You, LP Li, L Wong, ZH Chen, CZ Gan Ieee Access 8, 37578-37588, 2020 | 29 | 2020 |
| LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions L Wong, YA Huang, ZH You, ZH Chen, MY Cao Journal of cellular and molecular medicine 24 (1), 79-87, 2020 | 29 | 2020 |
| A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction L Wang, L Wong, Z Li, Y Huang, X Su, B Zhao, Z You Briefings in Bioinformatics 23 (5), bbac388, 2022 | 24 | 2022 |
| GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm L Wong, L Wang, ZH You, CA Yuan, YA Huang, MY Cao BMC bioinformatics 24 (1), 188, 2023 | 21 | 2023 |
| MGRL: predicting drug-disease associations based on multi-graph representation learning BW Zhao, ZH You, L Wong, P Zhang, HY Li, L Wang Frontiers in Genetics 12, 657182, 2021 | 18 | 2021 |
| NSECDA: natural semantic enhancement for circRNA-disease association prediction L Wang, L Wong, ZH You, DS Huang, XR Su, BW Zhao IEEE Journal of Biomedical and Health Informatics 26 (10), 5075-5084, 2022 | 17 | 2022 |
| MIPDH: a novel computational model for predicting microRNA–mRNA interactions by DeepWalk on a heterogeneous network L Wong, ZH You, ZH Guo, HC Yi, ZH Chen, MY Cao ACS omega 5 (28), 17022-17032, 2020 | 17 | 2020 |
| DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding BY Ji, ZH You, Y Wang, ZW Li, L Wong Iscience 24 (6), 2021 | 15 | 2021 |
| A multi-graph deep learning model for predicting drug-disease associations BW Zhao, ZH You, L Hu, L Wong, BY Ji, P Zhang Intelligent Computing Theories and Application: 17th International …, 2021 | 13 | 2021 |
| PPAEDTI: personalized propagation auto-encoder model for predicting drug-target interactions YC Li, ZH You, CQ Yu, L Wang, L Wong, L Hu, PW Hu, YA Huang IEEE Journal of Biomedical and Health Informatics 27 (1), 573-582, 2022 | 10 | 2022 |
| Inferring disease-associated Piwi-interacting RNAs via graph attention networks K Zheng, ZH You, L Wang, L Wong, ZH Chen Intelligent Computing Theories and Application: 16th International …, 2020 | 10 | 2020 |
