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bioconductor-despace

Intuitive framework for identifying spatially variable genes (SVGs) via edgeR, a popular method for performing differential expression analyses. Based on pre-annotated spatial clusters as summarized spatial information, DESpace models gene expression using a negative binomial (NB), via edgeR, with spatial clusters as covariates. SVGs are then identified by testing the significance of spatial clusters. The method is flexible and robust, and is faster than the most SV methods. Furthermore, to the

skills/transcriptomics/despace/SKILL.md

Source commit c9bd4d8eb6edc5308a8f55e6184dce9e8afadf12

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Nov 10, 2026

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