| Machine learning for synthetic data generation: a review Y Lu, M Shen, H Wang, X Wang, C van Rechem, W Wei arXiv preprint arXiv:2302.04062, 2023 | 76 | 2023 |
| Data-driven detection of subtype-specific differentially expressed genes L Chen, Y Lu, CT Wu, R Clarke, G Yu, JE Van Eyk, DM Herrington, ... Scientific reports 11 (1), 332, 2021 | 26 | 2021 |
| Enhance wound healing monitoring through a thermal imaging based smartphone app S Yi, M Lu, A Yee, J Harmon, F Meng Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 20 | 2018 |
| COT: an efficient and accurate method for detecting marker genes among many subtypes Y Lu, CT Wu, SJ Parker, Z Cheng, G Saylor, JE Van Eyk, G Yu, R Clarke, ... Bioinformatics Advances 2 (1), vbac037, 2022 | 19 | 2022 |
| Uncertainty Quantification on Clinical Trial Outcome Prediction T Chen, N Hao, Y Lu, C Van Rechem arXiv preprint arXiv:2401.03482, 2024 | 7 | 2024 |
| DDN2. 0: R and Python packages for differential dependency network analysis of biological systems B Zhang, Y Fu, Y Lu, Z Zhang, R Clarke, JE Van Eyk, DM Herrington, ... bioRxiv, 2021.04. 10.439301, 2021 | 5 | 2021 |
| Integrated identification of disease specific pathways using multi-omics data Y Lu, YT Chang, EP Hoffman, G Yu, DM Herrington, R Clarke, CT Wu, ... bioRxiv, 666065, 2019 | 5 | 2019 |
| Integrated identification of disease specific pathways using multi-omics data. bioRxiv Y Lu, YT Chang, EP Hoffman, G Yu, DM Herrington, R Clarke, CT Wu, ... | 5 | 2019 |
| ABDS: tool suite for analyzing biologically diverse samples D Du, S Bhardwaj, SJ Parker, Z Cheng, Z Zhang, Y Lu, JE Van Eyk, G Yu, ... bioRxiv, 2023 | 4 | 2023 |
| Cosbin: cosine score-based iterative normalization of biologically diverse samples CT Wu, M Shen, D Du, Z Cheng, SJ Parker, Y Lu, JE Van Eyk, G Yu, ... Bioinformatics Advances 2 (1), vbac076, 2022 | 4 | 2022 |
| Uncertainty quantification and interpretability for clinical trial approval prediction Y Lu, T Chen, N Hao, C Van Rechem, J Chen, T Fu Health Data Science 4, 0126, 2024 | 3 | 2024 |
| Deep Learning based Multi-Label Image Classification of Protest Activities Y Lu, K Sato, J Wang arXiv preprint arXiv:2301.04212, 2023 | 2 | 2023 |
| Multi-omics data integration for identifying disease specific biological pathways Y Lu Virginia Tech, 2018 | 2 | 2018 |
| COT: an efficient Python tool for detecting marker genes among many subtypes Y Lu, CT Wu, SJ Parker, L Chen, G Saylor, JE Van Eyk, DM Herrington, ... bioRxiv, 2021.01. 10.426146, 2021 | 1 | 2021 |
| Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? K Zheng, Y Lu, Z Zhang, Z Wan, Y Ma, M Zitnik, T Fu arXiv preprint arXiv:2406.03403, 2024 | | 2024 |
| ABDS: a bioinformatics tool suite for analyzing biologically diverse samples D Du, S Bhardwaj, Y Lu, Y Wang, SJ Parker, Z Zhang, JE Van Eyk, G Yu, ... | | 2024 |
| TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model Y Wang, Y Lu, Y Xu, Z Ma, H Xu, B Du, H Gao, J Wu arXiv preprint arXiv:2404.01273, 2024 | | 2024 |
| GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization Y Lu, M Shen, Y Zhao, C Li, F Meng, X Wang, D Herrington, Y Wang, T Fu, ... arXiv preprint arXiv:2312.14249, 2023 | | 2023 |
| Machine learning enabled bioinformatics tools for analysis of biologically diverse samples Y Lu Virginia Tech, 2023 | | 2023 |
| Machine Learning for Synthetic Data Generation: A Review. arXiv WW Yingzhou Lu, Minjie Shen, Huazheng Wang arXiv preprint arXiv:2302.04062, 2023 | | 2023 |
Robert ClarkeThe Hormel Institute, University of Minnesota在 umn.edu 的电子邮件经过验证
