DOI: 10.18129/B9.bioc.cydar    

Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: Release (3.6)

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 <alun at>

Maintainer: Aaron Lun <alun at>

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


To install this package, start R and enter:

## try http:// if https:// URLs are not supported


HTML R Script Detecting differentially abundant subpopulations in mass cytometry data
PDF   Reference Manual
Text   NEWS


biocViews FlowCytometry, MultipleComparison, Proteomics, SingleCell, Software
Version 1.2.1
In Bioconductor since BioC 3.5 (R-3.4) (1 year)
License GPL-3
Depends BiocParallel, SummarizedExperiment
Imports viridis, methods, shiny, graphics, stats, grDevices, S4Vectors, flowCore, Biobase, Rcpp
LinkingTo Rcpp
Suggests ncdfFlow, testthat, BiocGenerics, knitr, edgeR, limma, glmnet, BiocStyle, flowStats
SystemRequirements C++11
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package cydar_1.2.1.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.11 (El Capitan) cydar_1.2.1.tgz
Source Repository git clone
Package Short Url
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: