Shuai Huang

This study compares clustering methods for multi-slide spatial transcriptomics data using simulated and real datasets, evaluating preprocessing techniques' impact on performance.

The paper develops a sensitivity analysis strategy for genome-scale metabolic flux prediction using TRIMER, showing its utility in guiding optimal experimental design for metabolic engineering.