| Prediction of lncRNA–disease associations based on inductive matrix completion C Lu, M Yang, F Luo, FX Wu, M Li, Y Pan, Y Li, J Wang Bioinformatics 34 (19), 3357-3364, 2018 | 261 | 2018 |
| Biomedical data and computational models for drug repositioning: a comprehensive review H Luo, M Li, M Yang, FX Wu, Y Li, J Wang Briefings in bioinformatics 22 (2), 1604-1619, 2021 | 172 | 2021 |
| Drug repositioning based on bounded nuclear norm regularization M Yang, H Luo, Y Li, J Wang Bioinformatics 35 (14), i455-i463, 2019 | 151 | 2019 |
| A survey of matrix completion methods for recommendation systems A Ramlatchan, M Yang, Q Liu, M Li, J Wang, Y Li Big Data Mining and Analytics 1 (4), 308-323, 2018 | 151 | 2018 |
| AttentionDTA: prediction of drug–target binding affinity using attention model Q Zhao, F Xiao, M Yang, Y Li, J Wang 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 112 | 2019 |
| Computational drug repositioning based on multi-similarities bilinear matrix factorization M Yang, G Wu, Q Zhao, Y Li, J Wang Briefings in bioinformatics 22 (4), bbaa267, 2021 | 87 | 2021 |
| AttentionDTA: Drug–target binding affinity prediction by sequence-based deep learning with attention mechanism Q Zhao, G Duan, M Yang, Z Cheng, Y Li, J Wang IEEE/ACM transactions on computational biology and bioinformatics 20 (2 …, 2022 | 48 | 2022 |
| Predicting human lncRNA-disease associations based on geometric matrix completion C Lu, M Yang, M Li, Y Li, FX Wu, J Wang IEEE journal of biomedical and health informatics 24 (8), 2420-2429, 2019 | 48 | 2019 |
| Overlap matrix completion for predicting drug-associated indications M Yang, H Luo, Y Li, FX Wu, J Wang PLoS computational biology 15 (12), e1007541, 2019 | 43 | 2019 |
| Biomedical data and deep learning computational models for predicting compound-protein relations Q Zhao, M Yang, Z Cheng, Y Li, J Wang IEEE/ACM transactions on computational biology and bioinformatics 19 (4 …, 2021 | 32 | 2021 |
| Heterogeneous graph inference with matrix completion for computational drug repositioning M Yang, L Huang, Y Xu, C Lu, J Wang Bioinformatics 36 (22-23), 5456-5464, 2020 | 31 | 2020 |
| Feature and nuclear norm minimization for matrix completion M Yang, Y Li, J Wang IEEE Transactions on Knowledge and Data Engineering 34 (5), 2190-2199, 2020 | 27 | 2020 |
| IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation HD Li, C Yang, Z Zhang, M Yang, FX Wu, GS Omenn, J Wang Bioinformatics 37 (4), 522-530, 2021 | 21 | 2021 |
| Drug repositioning based on multi-view learning with matrix completion Y Yan, M Yang, H Zhao, G Duan, X Peng, J Wang Briefings in Bioinformatics 23 (3), bbac054, 2022 | 19 | 2022 |
| Collaborative matrix factorization with soft regularization for drug-target interaction prediction LG Gao, MY Yang, JX Wang Journal of Computer Science and Technology 36, 310-322, 2021 | 12 | 2021 |
| miRTMC: a miRNA target prediction method based on matrix completion algorithm H Jiang, M Yang, X Chen, M Li, Y Li, J Wang IEEE Journal of Biomedical and Health Informatics 24 (12), 3630-3641, 2020 | 11 | 2020 |
| Tc-dta: predicting drug–target binding affinity with transformer and convolutional neural networks X Tang, Y Zhou, M Yang, W Li IEEE Transactions on NanoBioscience, 2024 | 6 | 2024 |
| Drug repurposing based on the DTD-GNN graph neural network: revealing the relationships among drugs, targets and diseases W Li, W Ma, M Yang, X Tang BMC genomics 25, 2024 | 5 | 2024 |
| Drug and disease similarity calculation platform for drug repositioning L Huang, HM Luo, M Yang, FX Wu, J Wang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 5 | 2019 |
| Mff-dta: Multi-scale feature fusion for drug-target affinity prediction X Tang, W Ma, M Yang, W Li Methods 231, 1-7, 2024 | 4 | 2024 |
Jianxin WangSchool of Computer Science and Engineering, Central South universityVerified email at mail.csu.edu.cn