SpatialDE: identification of spatially variable genes

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.

• Publication year

  2018

• Venue

  Nature Methods

• Publication date

  2018-03-19

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/nmeth.4636PMID 29553579PMCID 6350895
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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