Package: nnSVG 1.11.0

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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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-1.10.0(bioc 3.20)

spatial singlecell transcriptomics geneexpression preprocessing

7.52 score 11 stars 1 packages 249 scripts 266 downloads 2 exports 78 dependencies

Last updated 22 days agofrom:9c91054739. Checks:OK: 2 NOTE: 2 WARNING: 3. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	WARNING	Oct 31 2024
R-4.5-linux	NOTE	Oct 31 2024
R-4.4-win	WARNING	Oct 31 2024
R-4.4-mac	NOTE	Oct 31 2024
R-4.3-win	WARNING	Oct 31 2024
R-4.3-mac	OK	Oct 31 2024