Article

Spatial Transcriptomic Cell-type Deconvolution Using Graph Neural Networks

2023-03-12

Abstract excerpt

Spatially resolved transcriptomics performs high-throughput measurement of transcriptomes while preserving spatial information about the cellular organizations. However, many spatially resolved transcriptomic technologies can only distinguish spots consisting of a mixture of cells instead of working at single-cell resolution. Here, we present STdGCN, a graph neural network model designed for cell type deconvolutio...

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Literature Corpus work: 3112b38b-57b0-5c77-9871-9901e741cccd
DOI: 10.1101/2023.03.10.532112

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