Models and Algorithms for Analyzing Tumor Heterogeneity Based on Spatiotemporal Omics Data, National Natural Science Foundation of China (NSFC) (NO. 62673338), Participant

This NSFC project develops models and algorithms for analyzing tumor heterogeneity from spatiotemporal omics data. Deep learning methods are used to characterize heterogeneous tumor cell states and their spatial and temporal organization.