Adam S. Chan

Benchmarking the translational potential of spatial gene expression prediction from histology

This study benchmarks six methods for predicting spatial gene expression from histology images using breast and skin cancer datasets and TCGA data, evaluating their performance and translational potential.

Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data

The paper introduces treekoR, a framework that recaptures hierarchical structures in cytometry data to better associate cell proportions with disease.