CyTOFpower

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

Power analysis for CyTOF experiments


Bioconductor version: Development (3.21)

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] (ORCID: ), Catherine Blish [aut], Susan Holmes [aut]

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

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

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("CyTOFpower")

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

Documentation

Reference Manual PDF

Details

biocViews CellBiology, FlowCytometry, SingleCell, Software, StatisticalMethod
Version 1.13.0
In Bioconductor since BioC 3.14 (R-4.1) (3 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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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64) CyTOFpower_1.13.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CyTOFpower
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CyTOFpower
Bioc Package Browser https://code.bioconductor.org/browse/CyTOFpower/
Package Short Url https://bioconductor.org/packages/CyTOFpower/
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