A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening D He, Q Liu, Y Wu, L Xie Nature Machine Intelligence 4 (10), 879-892, 2022 | 55 | 2022 |
COVID-19 multi-targeted drug repurposing using few-shot learning Y Liu, Y Wu, X Shen, L Xie Frontiers in Bioinformatics 1, 693177, 2021 | 31 | 2021 |
Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug … Y Wu, Q Liu, Y Qiu, L Xie PLoS computational biology 18 (8), e1010367, 2022 | 15 | 2022 |
Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responses Y Wu, Q Liu, L Xie Cell Reports Methods 3 (4), 2023 | 9 | 2023 |
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships Y Wu, L Xie arXiv preprint arXiv:2407.06405, 2024 | 8 | 2024 |
MoLGNN: Self-supervised motif learning graph neural network for drug discovery X Shen, Y Liu, Y Wu, L Xie Machine Learning for Molecules Workshop at NeurIPS 2020, 4, 2020 | 7 | 2020 |
Multitask-guided self-supervised tabular learning for patient-specific survival prediction Y Wu, O Bazgir, Y Lee, T Biancalani, J Lu, E Hajiramezanali Machine learning in computational biology, 10-22, 2024 | 4 | 2024 |
Semi-supervised meta-learning elucidates understudied molecular interactions Y Wu, L Xie, Y Liu, L Xie Communications Biology 7 (1), 1104, 2024 | 3 | 2024 |
AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships Y Wu, L Xie Computational and Structural Biotechnology Journal, 2025 | | 2025 |
Data Efficiency Semi-Supervised Meta-Learning Elucidates Understudied Interspecies Molecular Interactions. Y Wu, L Xie, Y Liu Biorxiv: the Preprint Server for Biology, 2023 | | 2023 |