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scResolve: Recovering single cell expression profiles from multi-cellular spatial transcriptomics

2023-12-19

Abstract excerpt

Many popular spatial transcriptomics techniques lack single-cell resolution. Instead, these methods measure the collective gene expression for each location from a mixture of cells, potentially containing multiple cell types. Here, we developed scResolve, a method for recovering single-cell expression profiles from spatial transcriptomics measurements at multi-cellular resolution. scResolve accurately restores exp...

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Identifiers and source

Literature Corpus work
06109ec2-822c-595d-8ba6-ed38c9cb106d
DOI
10.1101/2023.12.18.572269
Open publication

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scResolve: Recovering single cell expression profiles from multi-cellular spatial transcriptomicsDOI 10.1101/2023.12.18.572269
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