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Article

Spatial Transcriptomics Analysis of Gene Expression Prediction using Exemplar Guided Graph Neural Network

2023-03-30

Abstract excerpt

Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures the gene expression of each fine-grained area (i.e., different windows) in the tissue slide with low throughput. This paper proposes an exemplar guided graph network dubbed EGGN to accurately and efficiently predict gene expression from each window of a tissue slide image. We apply exemplar learning to...

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Literature Corpus work
23dfc2e3-6f83-5a06-b3c0-2610b6791df2
DOI
10.1101/2023.03.30.534914
Open publication

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Spatial Transcriptomics Analysis of Gene Expression Prediction using Exemplar Guided Graph Neural NetworkDOI 10.1101/2023.03.30.534914
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