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Spatial Autocorrelation Aware Resampling Improves Cell-Cell Interaction Inference in Spatial Transcriptomics Data

2026-07-10

Abstract excerpt

Spatial transcriptomics has enabled finer-grained analyses of cell-cell interactions through the co-expression of ligands and their cognate receptors, thereby accounting for the spatial constraints of signaling. However, existing methods employ random permutations or analytic calculations to assess statistical significance, neither of which accounts for spatial autocorrelation, a common property of spatially resol...

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Literature Corpus work
9d350a50-ad55-55d5-920a-a554f1ad7664
DOI
10.64898/2026.07.06.736800
Open publication

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Spatial Autocorrelation Aware Resampling Improves Cell-Cell Interaction Inference in Spatial Transcriptomics DataDOI 10.64898/2026.07.06.736800
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