Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

In this work, we introduce Cell Spatio- and Neighborhood-informed Annotation and Patterning (CellSNAP), a self-supervised computational method that learns a representation vector for each cell in tissue samples