Package: tpSVG 1.9.0

Boyi Guo

tpSVG: Thin plate models to detect spatially variable genes

The goal of `tpSVG` is to detect and visualize spatial variation in the gene expression for spatially resolved transcriptomics data analysis. Specifically, `tpSVG` introduces a family of count-based models, with generalizable parametric assumptions such as Poisson distribution or negative binomial distribution. In addition, comparing to currently available count-based model for spatially resolved data analysis, the `tpSVG` models improves computational time, and hence greatly improves the applicability of count-based models in SRT data analysis.

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

tpSVG_1.9.0.tar.gz
tpSVG_1.9.0.zip(r-4.7)tpSVG_1.9.0.zip(r-4.6)tpSVG_1.9.0.zip(r-4.5)
tpSVG_1.9.0.tgz(r-4.6-any)tpSVG_1.9.0.tgz(r-4.5-any)
tpSVG_1.9.0.tar.gz(r-4.7-any)tpSVG_1.9.0.tar.gz(r-4.6-any)
tpSVG_1.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tpSVG/json (API)

# Install 'tpSVG' in R:

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

Bug tracker:https://github.com/boyiguo1/tpsvg/issues

On BioConductor:tpSVG-1.9.0(bioc 3.24)tpSVG-1.8.0(bioc 3.23)

spatial transcriptomics geneexpression software statisticalmethod dimensionreduction regression preprocessing spatially-resolve spatially-variable-genes

4.30 score 2 stars 2 scripts 1 exports 68 dependencies

Last updated from:7145726ee2. Checks:1 NOTE, 7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	NOTE	233
linux-devel-x86_64	WARNING	369
source / vignettes	OK	349
linux-release-x86_64	WARNING	370
macos-release-arm64	WARNING	193
macos-oldrel-arm64	WARNING	223
windows-devel	WARNING	417
windows-release	WARNING	389
windows-oldrel	WARNING	351
wasm-release	OK	230