Article

Impact of single-cell RNA reference selection for the deconvolution of breast cancer spatial transcriptomics datasets

2026-01-09

Abstract excerpt

<h4>Background</h4> Spot-based Spatial transcriptomics (ST) allows for unbiased gene expression analysis within tissue architecture, overcoming the limitations of single-cell RNA sequencing (scRNA-seq) by preserving spatial context. However, the high spatial resolution in ST leads to cellular heterogeneity within spots, requiring computational deconvolution to infer cellular compositions. While scRNA-seq serves a...

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Literature Corpus work: 8886aa6c-1844-5ecd-9e07-2291a4f08a15
DOI: 10.64898/2026.01.09.698566

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