| Machine learning for synthetic data generation: a review Y Lu, M Shen, H Wang, X Wang, C van Rechem, T Fu, W Wei arXiv preprint arXiv:2302.04062, 2023 | 183 | 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 | 47 | 2021 |
| 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 | 40 | 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 | 39 | 2024 |
| TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model Y Wang, T Fu, Y Xu, Z Ma, H Xu, B Du, Y Lu, H Gao, J Wu, J Chen ACM Transactions on Multimedia Computing, Communications and Applications, 2024 | 27 | 2024 |
| Uncertainty quantification on clinical trial outcome prediction T Chen, Y Lu, N Hao, C Van Rechem, J Chen, T Fu arXiv preprint arXiv:2401.03482, 2024 | 27 | 2024 |
| 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 | 27 | 2018 |
| Trialbench: Multi-modal artificial intelligence-ready clinical trial datasets J Chen, Y Hu, Y Wang, Y Lu, X Cao, M Lin, H Xu, J Wu, C Xiao, J Sun, ... arXiv preprint arXiv:2407.00631, 2024 | 24 | 2024 |
| Deep learning based multi-label image classification of protest activities Y Lu, K Sato, J Wang arXiv preprint arXiv:2301.04212, 2023 | 22 | 2023 |
| Ddn3. 0: Determining significant rewiring of biological network structure with differential dependency networks Y Fu, Y Lu, Y Wang, B Zhang, Z Zhang, G Yu, C Liu, R Clarke, ... Bioinformatics 40 (6), btae376, 2024 | 20 | 2024 |
| 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 | 18 | 2022 |
| Multi-omics Data Integration for Identifying Disease Specific Biological Pathways Y Lu Virginia Tech, 2018 | 14 | 2018 |
| 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 | 9 | 2023 |
| Smiles-mamba: Chemical mamba foundation models for drug admet prediction B Xu, Y Lu, C Li, L Yue, X Wang, N Hao, T Fu, J Chen arXiv preprint arXiv:2408.05696, 2024 | 8 | 2024 |
| Biomamba: A pre-trained biomedical language representation model leveraging mamba L Yue, S Xing, Y Lu, T Fu arXiv preprint arXiv:2408.02600, 2024 | 6 | 2024 |
| Drugclip: Contrastive drug-disease interaction for drug repurposing Y Lu, Y Hu, C Li arXiv preprint arXiv:2407.02265, 2024 | 5 | 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 |
| 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 | 4 | 2024 |
| 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, ... | 4 | 2019 |
Robert ClarkeThe Hormel Institute, University of MinnesotaE-mailová adresa ověřena na: umn.edu
