Power Analysis
Power Analysis for Differential Expression in scRNA-seq data

Authors: Salman Fawad, Alan Murphy, Yunning Yuan, Hiranyamaya (Hiru) Dash, Nathan Skene
Updated: Apr-08-2025

Introduction

The poweranalysis R package is designed to run robust power analysis for differential gene expression in scRNA-seq studies and provides tools to estimate the optimal number of samples and cells needed to achieve reliable power levels.

Wraps work from this repository into an R package.

To install:

devtools::install_github("neurogenomics/Power_Analysis")

Load:

library(poweranalysis)

Contact

Neurogenomics Lab

UK Dementia Research Institute
Department of Brain Sciences
Faculty of Medicine
Imperial College London
GitHub

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Session Info

utils::sessionInfo()

## R version 4.4.3 (2025-02-28)
## Platform: aarch64-apple-darwin20
## Running under: macOS Sequoia 15.3.2
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: Europe/London
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## loaded via a namespace (and not attached):
##  [1] gtable_0.3.6        jsonlite_2.0.0      renv_1.1.4         
##  [4] dplyr_1.1.4         compiler_4.4.3      BiocManager_1.30.25
##  [7] tidyselect_1.2.1    rvcheck_0.2.1       scales_1.3.0       
## [10] yaml_2.3.10         fastmap_1.2.0       here_1.0.1         
## [13] ggplot2_3.5.1       R6_2.6.1            generics_0.1.3     
## [16] knitr_1.50          yulab.utils_0.2.0   tibble_3.2.1       
## [19] desc_1.4.3          dlstats_0.1.7       munsell_0.5.1      
## [22] rprojroot_2.0.4     pillar_1.10.2       RColorBrewer_1.1-3 
## [25] rlang_1.1.5         badger_0.2.4        xfun_0.52          
## [28] fs_1.6.5            cli_3.6.4           magrittr_2.0.3     
## [31] rworkflows_1.0.6    digest_0.6.37       grid_4.4.3         
## [34] rstudioapi_0.17.1   lifecycle_1.0.4     vctrs_0.6.5        
## [37] evaluate_1.0.3      glue_1.8.0          data.table_1.17.0  
## [40] colorspace_2.1-1    rmarkdown_2.29      tools_4.4.3        
## [43] pkgconfig_2.0.3     htmltools_0.5.8.1