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Bioconductor - CyTOFpower (development version)

CyTOFpower

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

Power analysis for CyTOF experiments

Bioconductor version: Development (3.22)

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: 0000-0002-4749-746X , 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 Details biocViews CellBiology, FlowCytometry, SingleCell, Software, StatisticalMethod Version 1.15.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 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 URL See More 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) Source Repository git clone https://git.bioconductor.org/packages/CyTOFpower Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CyTOFpower Package Short Url https://bioconductor.org/packages/CyTOFpower/ Package Downloads Report Download Stats

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