This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

CyTOFpower

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

Power analysis for CyTOF experiments

Bioconductor version: Development (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")

# 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

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 1.7.0
In Bioconductor since BioC 3.14 (R-4.1) (2 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
Linking To
Suggests testthat (>= 3.0.0), BiocStyle, knitr
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package CyTOFpower_1.7.0.tar.gz
Windows Binary CyTOFpower_1.7.0.zip
macOS Binary (x86_64) CyTOFpower_1.7.0.tgz
macOS Binary (arm64)
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/
Package Downloads Report Download Stats