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bioconductor-nnsvg

Method for scalable identification of spatially variable genes (SVGs) in spatially-resolved transcriptomics data. The method is based on nearest-neighbor Gaussian processes and uses the BRISC algorithm for model fitting and parameter estimation. Allows identification and ranking of SVGs with flexible length scales across a tissue slide or within spatial domains defined by covariates. Scales linearly with the number of spatial locations and can be applied to datasets containing thousands or more

skills/transcriptomics/nnsvg/SKILL.md

Source commit c9bd4d8eb6edc5308a8f55e6184dce9e8afadf12

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Nov 10, 2026

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