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cydar

This is the released version of cydar; for the devel version, see cydar.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

Using Mass Cytometry for Differential Abundance Analyses


Bioconductor version: Release (3.23)

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")):

Aaron Lun. cydar: Using Mass Cytometry for Differential Abundance Analyses. doi:10.18129/B9.bioc.cydar, R package version 1.36.0, https://bioconductor.org/packages/cydar.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

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")
Detecting differential abundance HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software
Version1.36.0
In Bioconductor sinceBioC 3.5 (R-3.4) (9.5 years)
License GPL-3
Depends SingleCellExperiment
Imports viridis, methods, shiny, graphics, stats, grDevices, utils, BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment, flowCore, Biobase, Rcpp, BiocNeighbors
System RequirementsC++11
URL
See More
Suggests ncdfFlow, testthat, rmarkdown, knitr, edgeR, limma, glmnet, BiocStyle, flowStats
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package cydar_1.36.0.tar.gz
Windows Binary (x86_64) cydar_1.36.0.zip
macOS Binary (big-sur-x86_64) cydar_1.36.0.tgz
macOS Binary (sonoma-arm64) cydar_1.36.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/cydar
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/cydar
Package Short Url https://bioconductor.org/packages/cydar/
Package Downloads ReportDownload Stats