Article
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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Identifiers and source
- Literature Corpus work
- 2870f9aa-ff90-5ccc-98ab-82e0c8edb252
- DOI
- 10.1101/2025.05.21.655244
