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Article

SpatialDE - Identification of spatially variable genes

2017-05-28

Abstract excerpt

Technological advances have enabled low-input RNA-sequencing, paving the way for assaying transcriptome variation in spatial contexts, including in tissues. While the generation of spatially resolved transcriptome maps is increasingly feasible, computational methods for analysing the resulting data are not established. Existing analysis strategies either ignore the spatial component of gene expression variation, o...

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Literature Corpus work
b5a0b4f7-98af-56b5-8aee-5595635652cc
DOI
10.1101/143321
Open publication

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