ST-ConMa: a multimodal foundation framework for spatial transcriptomics via image–gene contrastive and matching learning
Abstract Spatial transcriptomics (ST) enables the spatial mapping of gene expression by combining tissue images with spot-level gene expression profiles, allowing for the analysis of gene distribution and interactions between adjacent regions. Although numerous deep learning models have been developed for ST, most exis...