FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction

In three linesFLAG is a latent diffusion framework for predicting spatial gene expression from H&E images. It integrates a spatial graph encoder and Gene Foundation Model alignment to address the Gene Dimension Curse and preserve biological relationships (gene coordination, spatial distribution). Introduces novel structural evaluation metrics: GSC and SSC.

Summary generated by Claude — human-verified