Paper #1 Integrating spatial gene expression and breast tumour morphology via deep learning Key points: Spatial transcriptomics; local gene expression prediction Here we introduce ST-Net, a deep learning algorithm that combines spatial transcriptomics and histology images to capture high-resolution gene expression heterogeneity. ST-Net can predict the spatial variation in the expression of 102 genes — including several breast cancer biomarkers — at a…