Package: nnSVG 1.11.4

Lukas M. Weber

nnSVG: Scalable identification of spatially variable genes in spatially-resolved transcriptomics data

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 spatial locations.

Authors:Lukas M. Weber [aut, cre], Stephanie C. Hicks [aut]

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nnSVG.pdf |nnSVG.html✨
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NEWS

# Install 'nnSVG' in R:

install.packages('nnSVG', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lmweber/nnsvg/issues

On BioConductor:nnSVG-1.11.0(bioc 3.21)nnSVG-1.10.2(bioc 3.20)

spatial singlecell transcriptomics geneexpression preprocessing

7.75 score 17 stars 1 packages 183 scripts 340 downloads 2 exports 77 dependencies

Last updated 8 days agofrom:4e6427e58e. Checks:3 OK, 5 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 26 2025
R-4.5-win	NOTE	Feb 26 2025
R-4.5-mac	NOTE	Feb 26 2025
R-4.5-linux	NOTE	Feb 26 2025
R-4.4-win	NOTE	Feb 26 2025
R-4.4-mac	NOTE	Feb 26 2025
R-4.3-win	OK	Feb 26 2025
R-4.3-mac	OK	Feb 26 2025