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Power analysis for CyTOF experiments

Bioconductor version: Release (3.19)

This package is a tool to predict the power of CyTOF experiments in the context of differential state analyses. The package provides a shiny app with two options to predict the power of an experiment: i. generation of in-sicilico CyTOF data, using users input ii. browsing in a grid of parameters for which the power was already precomputed.

Author: Anne-Maud Ferreira [cre, aut] , Catherine Blish [aut], Susan Holmes [aut]

Maintainer: Anne-Maud Ferreira <anne-maud.ferreira at>

Citation (from within R, enter citation("CyTOFpower")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Power analysis for CyTOF experiments HTML R Script
Reference Manual PDF


biocViews CellBiology, FlowCytometry, SingleCell, Software, StatisticalMethod
Version 1.10.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License LGPL-3
Depends R (>= 4.1)
Imports CytoGLMM, diffcyt, DT, dplyr, ggplot2, magrittr, methods, rlang, stats, shiny, shinyFeedback, shinyjs, shinyMatrix, SummarizedExperiment, tibble, tidyr
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Suggests testthat (>= 3.0.0), BiocStyle, knitr
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Follow Installation instructions to use this package in your R session.

Source Package CyTOFpower_1.10.0.tar.gz
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macOS Binary (arm64) CyTOFpower_1.10.0.tgz
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Source Repository (Developer Access) git clone
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