Article

Spatial transcriptomics deconvolution at single-cell resolution by Redeconve

2022-12-22

Abstract excerpt

Computational deconvolution with single-cell RNA sequencing data as reference is pivotal to interpreting spatial transcriptomics data, but the current methods are limited to cell type resolution. Here we present Redeconve, an algorithm to deconvolute spatial transcriptomics data at single-cell resolution, enabling interpretation of spatial transcriptomics data with thousands of nuanced cell states. We benchmarked...

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Literature Corpus work: 4d65b699-d606-5b2d-8b05-57fda1e5f242
DOI: 10.1101/2022.12.22.521551

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