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Bioconductor - cydar (development version)

cydar

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

Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: Development (3.22)

Identifies differentially abundant populations between samples and groups in mass cytometry data. Provides methods for counting cells into hyperspheres, controlling the spatial false discovery rate, and visualizing changes in abundance in the high-dimensional marker space.

Author: Aaron Lun [aut, cre]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

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

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("cydar")
Details biocViews FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software Version 1.33.0 In Bioconductor since BioC 3.5 (R-3.4) (8 years) License GPL-3 Depends SingleCellExperiment Imports viridis, methods, shiny, graphics, stats, grDevices, utils, BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment, flowCore, Biobase, Rcpp, BiocNeighbors System Requirements C++11 URL See More Package Archives

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

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