STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning.

The latent embeddings of cells obtained from the STEM encoder showed a trend from the forebrain to the hindbrain in the uniform manifold approximation and projection (UMAP) plot (Fig. 3a ), suggesting the ability of STEM for extracting spatial manifold from gene expression profiles.

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