Article
ClusterMap: multi-scale clustering analysis of spatial gene expression
2021-02-19
Abstract excerpt
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 framework, termed ClusterMap, w...
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Identifiers and source
- Literature Corpus work
- dae3af78-2cfe-5636-b953-e7a56a937e37
- DOI
- 10.1101/2021.02.18.431337