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


R build status
License: MIT + file LICENSE

Authors: Salman Fawad, Alan Murphy, Yunning Yuan, Hiranyamaya (Hiru) Dash, Nathan Skene
Updated: Oct-07-2025

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:

Contact

Neurogenomics Lab

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

Session Info 

utils::sessionInfo()
## R version 4.5.1 (2025-06-13)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.3 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: UTC
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] rmarkdown_2.30
## 
## loaded via a namespace (and not attached):
##  [1] gtable_0.3.6        jsonlite_2.0.0      renv_1.1.5         
##  [4] dplyr_1.1.4         compiler_4.5.1      BiocManager_1.30.26
##  [7] tidyselect_1.2.1    rvcheck_0.2.1       scales_1.4.0       
## [10] yaml_2.3.10         fastmap_1.2.0       here_1.0.2         
## [13] ggplot2_4.0.0       R6_2.6.1            generics_0.1.4     
## [16] knitr_1.50          yulab.utils_0.2.1   tibble_3.3.0       
## [19] desc_1.4.3          dlstats_0.1.7       rprojroot_2.1.1    
## [22] pillar_1.11.1       RColorBrewer_1.1-3  rlang_1.1.6        
## [25] badger_0.2.5        xfun_0.53           fs_1.6.6           
## [28] S7_0.2.0            cli_3.6.5           magrittr_2.0.4     
## [31] rworkflows_1.0.6    digest_0.6.37       grid_4.5.1         
## [34] rappdirs_0.3.3      lifecycle_1.0.4     vctrs_0.6.5        
## [37] evaluate_1.0.5      glue_1.8.0          data.table_1.17.8  
## [40] farver_2.1.2        tools_4.5.1         pkgconfig_2.0.3    
## [43] htmltools_0.5.8.1