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This is the development version of CyTOFpower; for the stable release version, see CyTOFpower.

Power analysis for CyTOF experiments

Bioconductor version: Development (3.20)

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))

# The following initializes usage of Bioc devel


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 1.11.0
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_1.11.0.tar.gz
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macOS Binary (arm64) CyTOFpower_1.11.0.tgz
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Source Repository (Developer Access) git clone
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