ClusterMap: multi-scale clustering analysis of spatial gene expression

Abstract excerpt

<title>Abstract</title> <p>Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulation in complex tissues. In situ transcriptomic methods generate spatially resolved RNA profiles in intact tissues. However, there is a lack of a unified computational framework for integrative analysis of in situ transcriptomic data. Here, we present an unsupervised and annotation-free frame...

Topics

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• Gene Expression Profiling
• Phenotype
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

b9890a0c-6380-5aa3-b651-c96810eda532

DOI

10.21203/rs.3.rs-249361/v1