Bioconductor version: Release (3.11)
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 "4.0") 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 differential abundance |
Reference Manual | ||
Text | NEWS |
biocViews | FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (3.5 years) |
License | GPL-3 |
Depends | SingleCellExperiment |
Imports | viridis, methods, shiny, graphics, stats, grDevices, utils, BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment, flowCore, Biobase, Rcpp, BiocNeighbors |
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_1.12.0.tar.gz |
Windows Binary | cydar_1.12.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | cydar_1.12.0.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 | https://bioconductor.org/packages/cydar/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: