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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("cydar")
HTML | R Script | Detecting differentially abundant subpopulations in mass cytometry data |
Reference Manual | ||
Text | NEWS |
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 |
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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