PoweREST: A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics

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. (2024) <doi:10.1101/2024.08.30.610564> for method details.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	scam, Seurat, dplyr, plotly, resample, xgboost, magrittr, rayshader, ggplot2
Suggests:	patchwork, boot, knitr, rmarkdown, fields, rayrender, tidyr
Published:	2024-09-09
DOI:	10.32614/CRAN.package.PoweREST
Author:	Lan Shui [aut, cre]
Maintainer:	Lan Shui <Lan.Shui at uth.tmc.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	PoweREST results

Documentation:

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

Downloads:

Package source:	PoweREST_0.1.0.tar.gz
Windows binaries:	r-devel: PoweREST_0.1.0.zip, r-release: PoweREST_0.1.0.zip, r-oldrel: PoweREST_0.1.0.zip
macOS binaries:	r-release (arm64): PoweREST_0.1.0.tgz, r-oldrel (arm64): PoweREST_0.1.0.tgz, r-release (x86_64): PoweREST_0.1.0.tgz, r-oldrel (x86_64): PoweREST_0.1.0.tgz

Linking:

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