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SpatialDE: identification of spatially variable genes
Valentine Svensson1,2, Sarah A Teichmann1,3, Oliver Stegle2,4
1Wellcome Trust Sanger Institute, Hinxton, UK.
Abstract:
Technological advances have made it possible to measure spatially resolved gene expression at high throughput. However, methods to analyze these data are not established. Here we describe SpatialDE, a statistical test to identify genes with spatial patterns of expression variation from multiplexed imaging or spatial RNA-sequencing data. SpatialDE also implements 'automatic expression histology', a spatial gene-clustering approach that enables expression-based tissue histology.
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