| deepDriver: predicting cancer driver genes based on somatic mutations using deep convolutional neural networks P Luo, Y Ding, X Lei, FX Wu Frontiers in genetics 10, 428627, 2019 | 84 | 2019 |
| Variational graph auto-encoders for miRNA-disease association prediction Y Ding, LP Tian, X Lei, B Liao, FX Wu Methods 192, 25-34, 2021 | 69 | 2021 |
| Identification of dynamic protein complexes based on fruit fly optimization algorithm X Lei, Y Ding, H Fujita, A Zhang Knowledge-Based Systems 105, 270-277, 2016 | 61 | 2016 |
| Predicting miRNA-disease associations based on multi-view variational graph auto-encoder with matrix factorization Y Ding, X Lei, B Liao, FX Wu IEEE journal of biomedical and health informatics 26 (1), 446-457, 2021 | 38 | 2021 |
| Detecting protein complexes from DPINs by density based clustering with Pigeon-Inspired Optimization Algorithm X Lei, Y Ding, FX Wu Science China Information Sciences 59, 1-14, 2016 | 27 | 2016 |
| Predicting novel CircRNA-disease associations based on random walk and logistic regression model Y Ding, B Chen, X Lei, B Liao, FX Wu Computational Biology and Chemistry 87, 107287, 2020 | 23 | 2020 |
| Network learning for biomarker discovery Y Ding, M Fu, P Luo, FX Wu International Journal of Network Dynamics and Intelligence, 51-65, 2023 | 19 | 2023 |
| Deep belief network–based matrix factorization model for microrna-disease associations prediction Y Ding, F Wang, X Lei, B Liao, FX Wu Evolutionary Bioinformatics 16, 1176934320919707, 2020 | 18 | 2020 |
| MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations Y Ding, X Lei, B Liao, FX Wu Briefings in bioinformatics 23 (3), bbac079, 2022 | 17 | 2022 |
| Identifying gene signatures for cancer drug repositioning based on sample clustering F Wang, Y Ding, X Lei, B Liao, FX Wu IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020 | 12 | 2020 |
| Machine learning approaches for predicting biomolecule–disease associations Y Ding, X Lei, B Liao, FX Wu Briefings in Functional Genomics 20 (4), 273-287, 2021 | 11 | 2021 |
| Machine learning and deep learning strategies in drug repositioning F Wang, Y Ding, X Lei, B Liao, FX Wu Current Bioinformatics 17 (3), 217-237, 2022 | 4 | 2022 |
| Human protein complex-based drug signatures for personalized cancer medicine F Wang, Y Ding, X Lei, B Liao, FX Wu IEEE Journal of Biomedical and Health Informatics 25 (11), 4079-4088, 2021 | 4 | 2021 |
| Biomarker identification via a factorization machine-based neural network with binary pairwise encoding Y Ding, X Lei, B Liao, FX Wu IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | 2 | 2023 |
| 模拟鸽子优化过程的蛋白质复合物识别算法 丁玉连， 雷秀娟， 代才 计算机科学与探索 11 (8), 1279-1287, 2017 | 2 | 2017 |
| Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism Y Liu, Y Ding, A Li, R Fei, X Guo, F Wu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| A decomposition based evolutionary algorithm with uniform design for multi-objective optimization C Dai, X Lei, Y Ding 2016 IEEE Congress on Evolutionary Computation (CEC), 2484-2489, 2016 | 1 | 2016 |
| hnRNP A1 dysfunction alters RNA splicing and drives neurodegeneration in multiple sclerosis (MS) HE Salapa, PA Thibault, CD Libner, Y Ding, JPWE Clarke, C Denomy, ... Nature Communications 15 (1), 356, 2024 | | 2024 |
| Negative Sample Selection for miRNA-Disease Association Prediction Models Y Ding, F Wang, Y Zhang, FX Wu Machine Learning Methods for Multi-Omics Data Integration, 75-90, 2023 | | 2023 |
| Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties R Raha, Y Ding, Q Liu, FX Wu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
FangXiang WUUniversity of Saskatchewan在 usask.ca 的电子邮件经过验证
