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CSFeatures improves identification of cell type-specific differential features in single-cell and spatial omics data

2025-05-26

Abstract excerpt

Recent advancements in single-cell and spatial omics have enabled the analysis of gene expression patterns in cells and tissues with unprecedented precision. Genes that exhibit significant variation across different cell types or states are typically closely linked to cellular functional states and disease processes. However, current differential analysis methods often fail to adequately account for cell type spec...

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Literature Corpus work
2870f9aa-ff90-5ccc-98ab-82e0c8edb252
DOI
10.1101/2025.05.21.655244
Open publication

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CSFeatures improves identification of cell type-specific differential features in single-cell and spatial omics dataDOI 10.1101/2025.05.21.655244
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