cydar
Using Mass Cytometry for Differential Abundance Analyses
Bioconductor version: 3.23 · Package version: 1.36.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cydar") Details
| Maintainer | Aaron Lun <infinite.monkeys.with.keyboards@gmail.com> |
| Author | Aaron Lun [aut, cre] |
| License | GPL-3 |
| System Requirements | C++11 |
| Downloads rank | 394 |
| Source branch | RELEASE_3_23 |
| biocViews | FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software |
Documentation
Download
Dependencies
Depends: SingleCellExperiment
Imports: viridis, methods, shiny, graphics, stats, grDevices, utils, BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment, flowCore, Biobase, Rcpp, BiocNeighbors
LinkingTo: Rcpp
Suggests: ncdfFlow, testthat, rmarkdown, knitr, edgeR, limma, glmnet, BiocStyle, flowStats