| MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction D Wang, S Zeng, C Xu, W Qiu, Y Liang, T Joshi, D Xu Bioinformatics 33 (24), 3909-3916, 2017 | 224 | 2017 |
| MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization D Wang, D Liu, J Yuchi, F He, Y Jiang, S Cai, J Li, D Xu Nucleic Acids Research 48 (W1), W140-W146, 2020 | 167 | 2020 |
| Capsule network for protein post-translational modification site prediction D Wang, Y Liang, D Xu Bioinformatics 35 (14), 2386-2394, 2019 | 104 | 2019 |
| DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism D Wang, Z Zhang, Y Jiang, Z Mao, D Wang, H Lin, D Xu Nucleic acids research 49 (8), e46-e46, 2021 | 103 | 2021 |
| Phenotype prediction and genome-wide association study using deep convolutional neural network of soybean Y Liu, D Wang, F He, J Wang, T Joshi, D Xu Frontiers in genetics 10, 486384, 2019 | 99 | 2019 |
| 3′ UTR shortening identifies high-risk cancers with targeted dysregulation of the ceRNA network L Li, D Wang, M Xue, X Mi, Y Liang, P Wang Scientific reports 4 (1), 5406, 2014 | 64 | 2014 |
| RNALocate v2. 0: an updated resource for RNA subcellular localization with increased coverage and annotation T Cui, Y Dou, P Tan, Z Ni, T Liu, DL Wang, Y Huang, K Cai, X Zhao, D Xu, ... Nucleic acids research 50 (D1), D333-D339, 2022 | 60 | 2022 |
| MULocDeep: a deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation Y Jiang, D Wang, Y Yao, H Eubel, P Künzler, IM Møller, D Xu Computational and structural biotechnology journal 19, 4825-4839, 2021 | 57 | 2021 |
| Single-cell biological network inference using a heterogeneous graph transformer A Ma, X Wang, J Li, C Wang, T Xiao, Y Liu, H Cheng, J Wang, Y Li, ... Nature Communications 14 (1), 964, 2023 | 43 | 2023 |
| CircRNAFisher: a systematic computational approach for de novo circular RNA identification G Jia, D Wang, M Xue, Y Liu, Y Pei, Y Yang, J Xu, Y Liang, P Wang Acta Pharmacologica Sinica 40 (1), 55-63, 2019 | 22 | 2019 |
| Application of deep learning in genomic selection Y Liu, D Wang 2017 ieee international conference on bioinformatics and biomedicine (bibm …, 2017 | 20 | 2017 |
| Deep learning detection of inaccurate smart electricity meters: A case study M Liu, D Liu, G Sun, Y Zhao, D Wang, F Liu, X Fang, Q He, D Xu IEEE Industrial Electronics Magazine 14 (4), 79-90, 2020 | 18 | 2020 |
| DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM Y Jiang, D Wang, D Xu BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 66-75, 2018 | 17 | 2018 |
| Computational methods for protein localization prediction Y Jiang, D Wang, W Wang, D Xu Computational and Structural Biotechnology Journal 19, 5834-5844, 2021 | 16 | 2021 |
| G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers S Zeng, Z Mao, Y Ren, D Wang, D Xu, T Joshi Nucleic Acids Research 49 (W1), W228-W236, 2021 | 15 | 2021 |
| BFDCA: A comprehensive tool of using Bayes factor for differential co-expression analysis D Wang, J Wang, Y Jiang, Y Liang, D Xu Journal of molecular biology 429 (3), 446-453, 2017 | 12 | 2017 |
| MU-PseUDeep: a deep learning method for prediction of pseudouridine sites SM Khan, F He, D Wang, Y Chen, D Xu Computational and Structural Biotechnology Journal 18, 1877-1883, 2020 | 11 | 2020 |
| A dynamic programing approach to integrate gene expression data and network information for pathway model generation Y Jiang, Y Liang, D Wang, D Xu, T Joshi Bioinformatics 36 (1), 169-176, 2020 | 11 | 2020 |
| RDF sketch maps-knowledge complexity reduction for precision medicine analytics N Thanintorn, J Wang, I Ersoy, Z Al-Taie, Y Jiang, D Wang, M Verma, ... Biocomputing 2016: Proceedings of the Pacific Symposium, 417-428, 2016 | 11 | 2016 |
| Diffusion models in bioinformatics: A new wave of deep learning revolution in action Z Guo, J Liu, Y Wang, M Chen, D Wang, D Xu, J Cheng arXiv preprint arXiv:2302.10907, 2023 | 10 | 2023 |
Dong XuCurators’ Distinguished Professor, University of MissouriVerified email at missouri.edu
