Revealing high-resolution spatial metagenes from spatial transcriptomics

We present SpaHDmap, a deep learning framework that integrates histology images with spatial transcriptomic data to derive high-resolution and interpretable spatial metagenes. We demonstrate that SpaHDmap effectively generates fine-grained spatial metagenes, reveals refined spatial structures and enables joint analysis of multiple samples across different experimental conditions.