SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and clustering in spatial transcriptomics

Abstract excerpt

Spatial transcriptomics has advanced our understanding of tissue biology by enabling sequencing while preserving spatial coordinates. In sequencing-based spatial technologies, each measured spot typically consists of multiple cells. Deconvolution algorithms are required to decipher the cell-type distribution at each spot. Existing spot deconvolution algorithms for spatial transcriptomics often neglect spatial coor...

Topics

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• Biomarkers, Tumor
• Gene Expression
• Gene Expression Profiling
• Image Processing, Computer-Assisted
• Neural Networks, Computer
• Phenotype
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

e19b5feb-88d2-5a11-9305-e30b54cc3e01

DOI

10.1101/2023.09.07.556641