To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

cydar

DOI: 10.18129/B9.bioc.cydar

Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: Release (3.5)

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>

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

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 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License GPL-3
Depends BiocParallel, SummarizedExperiment
Imports plotrix, viridis, methods, shiny, graphics, stats, grDevices, S4Vectors, flowCore, Biobase
LinkingTo
Suggests ncdfFlow, testthat, BiocGenerics, knitr, edgeR, limma, glmnet, BiocStyle, flowStats
SystemRequirements
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_1.0.0.tar.gz
Windows Binary cydar_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) cydar_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cydar
Package Short Url http://bioconductor.org/packages/cydar/
Package Downloads Report Download Stats

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