| Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways H Zhang, Y Chen, F Li Frontiers in Bioinformatics, 10, 2021 | 27 | 2021 |
| Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model H Zhang, J Feng, A Zeng, P Payne, F Li AMIA Annual Symposium Proceedings 2020, 1364, 2020 | 20 | 2020 |
| Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model J Feng, H Zhang, F Li BMC bioinformatics 22 (1), 1-13, 2021 | 12 | 2021 |
| Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Z Dong, H Zhang, Y Chen, PRO Payne, F Li Cancers 15 (17), 4210, 2023 | 8 | 2023 |
| Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare Z Dong, H Zhang, Y Chen, F Li arXiv preprint arXiv:2105.07082, 2021 | 5 | 2021 |
| Mining signaling flow to interpret mechanisms of synergy of drug combinations using deep graph neural networks H Zhang, Y Chen, PR Payne, F Li bioRxiv, 2021 | 5 | 2021 |
| M3NetFlow: a novel multi-scale multi-hop multi-omics graph AI model for omics data integration and interpretation H Zhang, P Goedegebuure, L Ding, W Hawkins, D DeNardo, R Fields, ... bioRxiv, 2023.06. 15.545130, 2023 | 1 | 2023 |
| mosGraphGen: a novel tool to generate multi-omic signaling graphs to facilitate integrative and interpretable graph AI model development H Zhang, D Cao, Z Chen, Z Zhang, Y Chen, C Sessions, C Cruchaga, ... bioRxiv, 2024.05. 15.594360, 2024 | | 2024 |
| Development of a Radiomic Signature from Pre-Treatment FDG-PET for Recurrence Prediction in Cervical Cancer M Inkman, A Eaton, H Zhang, MR Waters, J Swamidass, TR Mazur, A Jha, ... International Journal of Radiation Oncology, Biology, Physics 117 (2), e469, 2023 | | 2023 |
| PD14-03 PREDICTION OF RESPONSE TO OAB MEDICATIONS USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE–A LURN RESEARCH STUDY HH Lai, H Zhang, F Li The Journal of Urology 209 (Supplement 4), e413, 2023 | | 2023 |
| Multi-omics data integration via novel interpretable k-hop graph attention network for signaling network inference R Yuan, J Feng, H Zhang, Y Chen, PR Payne, F Li bioRxiv, 2022.09. 16.508281, 2022 | | 2022 |
Fuhai LiWashington University in St. LouisVerified email at wustl.edu
