Work

SpatialDE – Identification of spatially variable genes

Year: 2017

Type: other

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.

DOI: 10.7490/f1000research.1114480.1

Authors: Valentine Svensson, Sarah A Teichmann, Oliver Stegle

Institutions: European Bioinformatics Institute, Wellcome Sanger Institute, University of Cambridge

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W2891994021

Cites:

Cited by: 1

Related to: 20