CyTOFpower

This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see CyTOFpower.

Power analysis for CyTOF experiments


Bioconductor version: 3.18

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 stanford.edu>

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

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("CyTOFpower")

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

Documentation

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

browseVignettes("CyTOFpower")
Power analysis for CyTOF experiments HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews CellBiology, FlowCytometry, SingleCell, Software, StatisticalMethod
Version 1.8.0
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
System Requirements
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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 CyTOFpower_1.8.0.tar.gz
Windows Binary CyTOFpower_1.8.0.zip
macOS Binary (x86_64) CyTOFpower_1.8.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/CyTOFpower
Source Repository (Developer Access) git clone [email protected]:packages/CyTOFpower
Bioc Package Browser https://code.bioconductor.org/browse/CyTOFpower/
Package Short Url https://bioconductor.org/packages/CyTOFpower/
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