Fig. 3: Interpretation of the STEM model.
From: STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning
a Raw spatial distribution of cells and UMAP visualization of cell embeddings obtained from STEM and Gene expression. The color indicates the different spatial region annotation. b The heatmap shows the attribution score of SDGs along the spinal axis. Each column represents a gene expression vector, with the attribution score scaled from 0 to 1. c The ground truth spatial expression patterns of six SDGs. d The STEM reconstructed spatial expression patterns of six SDGs. The genes are highly attributed in different regions, corresponding to the bolder name in the heatmap.
