Package: nnSVG 1.17.0

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]

nnSVG_1.17.0.tar.gz
nnSVG_1.17.0.zip(r-4.7)nnSVG_1.17.0.zip(r-4.6)nnSVG_1.17.0.zip(r-4.5)
nnSVG_1.17.0.tgz(r-4.6-any)nnSVG_1.17.0.tgz(r-4.5-any)
nnSVG_1.17.0.tar.gz(r-4.7-any)nnSVG_1.17.0.tar.gz(r-4.6-any)
nnSVG_1.17.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nnSVG/json (API)
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-1.17.0(bioc 3.24)nnSVG-1.16.0(bioc 3.23)

spatial singlecell transcriptomics geneexpression preprocessing

7.84 score 24 stars 1 packages 319 scripts 472 downloads 2 exports 71 dependencies

Last updated from:93e287a125. Checks:1 NOTE, 7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	NOTE	262
linux-devel-x86_64	WARNING	557
source / vignettes	OK	555
linux-release-x86_64	WARNING	572
macos-release-arm64	WARNING	365
macos-oldrel-arm64	WARNING	406
windows-devel	WARNING	624
windows-release	WARNING	549
windows-oldrel	WARNING	509
wasm-release	OK	205