A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics R package PoweREST version 0.1.2 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. Software Depends: R (>= 2.10) Imports: scam, dplyr, resample, xgboost, magrittr, ggplot2 Suggests: patchwork, boot, fields, rayrender, tidyr, plotly, rayshader, Seurat, knitr, rmarkdown Lan Shui <Lan.Shui@uth.tmc.edu> Comprehensive R Archive Network (CRAN) Lan Shui [aut, cre] (ORCID: <https://orcid.org/0000-0002-2719-842X>) MIT + file LICENSE (https://CRAN.R-project.org/package=PoweREST/LICENSE) 2025-12-09 application/tgz https://CRAN.R-project.org/package=PoweREST doi:10.32614/CRAN.package.PoweREST