Showing results (1-10 of 1,880) with videos related to
Sort By:
Pageof 188
Research Square|August 6, 2025
Cross-level Cross-Scale Inference and Imputation of Single-cell Spatial ProteomicsYou Wu, Lei XieComputational and Structural Biotechnology Journal|January 31, 2025
AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationshipsYou Wu, Lei XieComputational and Structural Biotechnology Journal|April 1, 2025
Corrigendum to "AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships" [Comput Struct Biotechnol J 27 (2025) 265-277]You Wu, Lei XieCell Reports Methods|May 9, 2023
Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responsesYou Wu, Qiao Liu, Lei XieDrug Discovery Today|October 10, 2025
AI-powered programmable virtual humans toward human physiologically-based drug discoveryYou Wu, Philip E Bourne, Lei XiePlos Computational Biology|August 11, 2022
Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer's disease drug repurposingYou Wu, Qiao Liu, Yue Qiu, et al.Nature Machine Intelligence|June 19, 2024
A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screeningDi He, Qiao Liu, You Wu, et al.Frontiers in Bioinformatics|October 28, 2022
COVID-19 Multi-Targeted Drug Repurposing Using Few-Shot LearningYang Liu, You Wu, Xiaoke Shen, et al.Biorxiv : the Preprint Server for Biology|June 9, 2023
Model Agnostic Semi-Supervised Meta-Learning Elucidates Understudied Out-of-distribution Molecular InteractionsYou Wu, Li Xie, Yang Liu, et al.Communications Biology|September 9, 2024
Semi-supervised meta-learning elucidates understudied molecular interactionsYou Wu, Li Xie, Yang Liu, et al.Pageof 188