Article

A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics

2025-02-22

Abstract excerpt

Spatial transcriptomics (ST) provides unprecedented insights into gene expression patterns while retaining spatial context, making it a valuable tool for understanding complex tissue architectures, such as those found in cancers. Seurat, by far the most popular tool for analyzing ST data, uses the Wilcoxon rank-sum test by default for differential expression analysis. However, as a nonparametric method that disreg...

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Literature Corpus work: 996666ed-73e0-5b86-b91b-e68a6477552e
DOI: 10.1101/2025.02.17.638726

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