| DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks M Karimi, D Wu, Z Wang, Y Shen Bioinformatics 35 (18), 3329-3338, 2019 | 474 | 2019 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 73 | 2021 |
| Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts M Karimi, D Wu, Z Wang, Y Shen arXiv preprint arXiv:1912.12553, 2019 | 53 | 2019 |
| A novel full-waveform LiDAR echo decomposition method and simulation verification D Li, L Xu, X Li, D Wu 2014 IEEE International Conference on Imaging Systems and Techniques (IST …, 2014 | 11 | 2014 |
| Machine learning-optimized targeted detection of alternative splicing K Yang, N Islas, S Jewell, A Jha, CM Radens, JA Pleiss, KW Lynch, ... bioRxiv, 2024 | | 2024 |
| Generative modeling for RNA splicing code predictions and design D Wu, A Jha, S Jewell, N Maus, JR Gardner, Y Barash | | |
Zhangyang (Atlas) WangXTX Markets & University of Texas at Austin在 utexas.edu 的电子邮件经过验证
