Samuel X. Tan

STimage predicts gene expression and classifies cell types from histopathological images, improving robustness and interpretability for cancer and disease analysis.

The paper integrates 12 spatial and single-cell technologies to analyze cellular interactions and signatures in three skin cancers, identifying key therapeutic targets and genetic associations.

The paper develops MMCCI, a computational pipeline to integrate cell-cell interaction results across samples, and applies it to uncover global and condition-specific ligand-receptor interaction patterns in aging brain and melanoma datasets.