cydar

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 wehi.edu.au>

Maintainer: Aaron Lun <alun at wehi.edu.au>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cydar")

Documentation

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

Details

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
Enhances
URL
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	cydar_1.2.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	cydar_1.2.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cydar
Package Short Url	http://bioconductor.org/packages/cydar/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive