Article

Transferable spatial omics deconvolution with SpaRank

2026-05-13

Abstract excerpt

By resolving cell-type compositions from multi-cellular spatial measurements, deconvolution is central to resolving the cellular landscape of complex tissues. Existing deconvolution methods fit continuous expression values and are therefore sensitive to batch effects between single-cell references and spatial data, requiring retraining for each new context. Here we present SpaRank, a context-aware framework that p...

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Literature Corpus work: d14dbd82-f72b-5ce6-879d-3d684b655a23
DOI: 10.64898/2026.05.09.723936

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