SpatialDWLS: accurate deconvolution of spatial transcriptomic data

Abstract excerpt

Recent development of spatial transcriptomic technologies has made it possible to systematically characterize cellular heterogeneity while preserving spatial information, which greatly enables the investigation of structural organization of a tissue and its impact on modulating cellular behavior. On the other hand, the technology often does not have sufficient resolution to distinguish neighboring cells which may...

Topics

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• Brain
• COVID-19
• Mice
• Neural Networks, Computer
• Sequence Analysis, RNA
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis
• Transcriptome

Identifiers and source

Literature Corpus work

723ff08b-916b-5048-9bb6-38d25467107c

DOI

10.1101/2021.02.02.429429