Zhiyong Zou

NexuST is a hierarchical foundation model for spatial transcriptomics that improves cell-type annotation and spatial prediction by integrating gene-level and cell-level modeling.

This paper develops a framework to evaluate fluorescence trace quality for transcription kinetics by identifying thresholds for signal-to-noise ratio and trace length using synthetic data.