cydar

DOI:10.18129/B9.bioc.cydar

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, seecydar.

Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: 3.8

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

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("cydar")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("cydar")

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

Details

biocViews	FlowCytometry,ImmunoOncology,MultipleComparison,Proteomics,SingleCell,Software
Version	1.6.1
In Bioconductor since	BioC 3.5 (R-3.4) (2 years)
License	GPL-3
Depends	BiocParallel,SingleCellExperiment
Imports	viridis, methods,shiny, graphics, stats, grDevices, utils,BiocGenerics,S4Vectors,flowCore,Biobase,Rcpp,BiocNeighbors,SummarizedExperiment
LinkingTo	Rcpp
Suggests	ncdfFlow,testthat,knitr,edgeR,limma,glmnet,BiocStyle,flowStats
SystemRequirements	C++11
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	cydar_1.6.1.tar.gz
Windows Binary	cydar_1.6.1.zip(32- & 64-bit)
Mac OS X 10.11 (El Capitan)	cydar_1.6.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cydar
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/cydar
Package Short Url	//www.andersvercelli.com/packages/cydar/
Package Downloads Report	Download Stats