Article

STASCAN deciphers fine-resolution cell-distribution maps in spatial transcriptomics by deep learning

2023-09-04

Abstract excerpt

<h4>Background</h4> The spatial transcriptomics (ST) technologies have been widely applied to decode the spatial distribution of cells by resolving gene expression profiles in tissues. However, a fine-resolved spatial cell map is still limited by algorithmic tools and sequencing techniques. <h4>Results</h4> Here we develop a novel deep learning approach, STASCAN, which could define the spatial cellular distribut...

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Literature Corpus work: be16405a-48c4-5227-bea4-98644c184260
DOI: 10.1101/2023.09.02.556029

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