High-precision cell-type mapping and annotation of single-cell spatial transcriptomics with STAMapper
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In this paper, we develop a heterogeneous graph neural network, STAMapper, to transfer the cell-type labels from single-cell RNA-sequencing (scRNA-seq) data to single-cell spatial transcriptomics (scST) data. We collect 81 scST datasets consisting of 344 slice... ...
