Package: cydar
Version: 1.4.0
Date: 2017-11-08
Title: Using Mass Cytometry for Differential Abundance Analyses
Author: Aaron Lun <alun@wehi.edu.au>
Maintainer: Aaron Lun <alun@wehi.edu.au>
Depends: BiocParallel, SummarizedExperiment
Imports: viridis, methods, shiny, graphics, stats, grDevices,
        S4Vectors, flowCore, Biobase, Rcpp
Suggests: ncdfFlow, testthat, BiocGenerics, knitr, edgeR, limma,
        glmnet, BiocStyle, flowStats
biocViews: FlowCytometry, MultipleComparison, Proteomics, SingleCell
Description: 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.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
LinkingTo: Rcpp
SystemRequirements: C++11
Packaged: 2018-05-01 04:04:39 UTC; biocbuild
Built: R 3.5.0; i386-w64-mingw32; 2018-05-01 11:51:15 UTC; windows
Archs: i386, x64
