Movatterモバイル変換


[0]ホーム

URL:


PoweREST: A Bootstrap-Based Power Estimation Tool for SpatialTranscriptomics

Power estimation and sample size calculation for 10X Visium Spatial Transcriptomics data to detect differential expressed genes between two conditions based on bootstrap resampling. See Shui et al. (2025) <doi:10.1371/journal.pcbi.1013293> for method details.

Version:0.1.2
Depends:R (≥ 2.10)
Imports:scam,dplyr,resample,xgboost,magrittr,ggplot2
Suggests:patchwork,boot,fields,rayrender,tidyr,plotly,rayshader,Seurat,knitr,rmarkdown
Published:2025-12-09
DOI:10.32614/CRAN.package.PoweREST
Author:Lan ShuiORCID iD [aut, cre]
Maintainer:Lan Shui <Lan.Shui at uth.tmc.edu>
License:MIT + fileLICENSE
NeedsCompilation:no
CRAN checks:PoweREST results

Documentation:

Reference manual:PoweREST.html ,PoweREST.pdf
Vignettes:PoweREST (source,R code)

Downloads:

Package source: PoweREST_0.1.2.tar.gz
Windows binaries: r-devel:PoweREST_0.1.2.zip, r-release:PoweREST_0.1.2.zip, r-oldrel:PoweREST_0.1.2.zip
macOS binaries: r-release (arm64):PoweREST_0.1.2.tgz, r-oldrel (arm64):PoweREST_0.1.2.tgz, r-release (x86_64):PoweREST_0.1.2.tgz, r-oldrel (x86_64):PoweREST_0.1.2.tgz
Old sources: PoweREST archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=PoweRESTto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp