Article

Identification of High-Risk Cells in Single-Cell Spatially Resolved Transcriptomics Data Using DEGAS Spatial Smoothing

2025-02-05

Abstract excerpt

<h4>Summary</h4> The examination of high-risk cells and regions in tissue samples from spatially resolved transcriptomics platforms offers meaningful insights into specific disease processes. For existing methods, while cell types or clusters can be identified and associated with disease attributes, individual cells are unable to be associated in the same manner. <h4>Method</h4> Diag-nostic Evidence GAuge of Sin...

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Literature Corpus work: c7120fa7-d544-5ac4-9392-87a97b1ac2a3
DOI: 10.1101/2025.01.30.635803

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