This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see cydar.
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 <infinite.monkeys.with.keyboards at gmail.com>
Citation (from within R,
enter citation("cydar")
):
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 appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cydar")
HTML | R Script | Detecting differentially abundant subpopulations in mass cytometry data |
Reference Manual | ||
Text | NEWS |
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 |
Follow Installation 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 | http://bioconductor.org/packages/cydar/ |
Package Downloads Report | Download Stats |
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