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 | 28 | 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 | 26 | 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 | 8 | 2022 |
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 | 6 | 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 | | 2024 |
Data Efficiency Semi-Supervised Meta-Learning Elucidates Understudied Interspecies Molecular Interactions Y Wu, L Xie, Y Liu, L Xie bioRxiv, 2023 | | 2023 |
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 | | 2023 |