Article

spSeudoMap: Cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

2022-05-10

Abstract excerpt

With advances in computational models, the cellular landscape can be tracked in various tissues using spatial transcriptomics. Since many single-cell RNA-seq (scRNA-seq) data have been obtained after cell sorting, such as when investigating immune cells, integrating these singlecell data with spatial data is limited due to a mismatch of cell types composing the two datasets. Here, we present a method, spSeudoMap,...

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Literature Corpus work: 0ced9082-1084-5ca8-aec8-46a22ecfebd8
DOI: 10.1101/2022.05.09.491104

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