Package: CytoDx
Type: Package
Title: Robust prediction of clinical outcomes using cytometry data
        without cell gating
Version: 1.33.0
Author: Zicheng Hu
Maintainer: Zicheng Hu <zicheng.hu@ucsf.edu>
Description: This package provides functions that predict clinical
        outcomes using single cell data (such as flow cytometry data,
        RNA single cell sequencing data) without the requirement of
        cell gating or clustering.
License: GPL-2
Encoding: UTF-8
Imports: doParallel, dplyr, glmnet, rpart, rpart.plot, stats,
        flowCore,grDevices, graphics, utils
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 6.1.0
biocViews: ImmunoOncology, CellBiology, FlowCytometry,
        StatisticalMethod, Software, CellBasedAssays, Regression,
        Classification, Survival
Config/pak/sysreqs: libssl-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:47:46 UTC
RemoteUrl: https://github.com/bioc/CytoDx
RemoteRef: HEAD
RemoteSha: 0f9a68173a2adf4ef0dc85112ecddf95b90567e9
NeedsCompilation: no
Packaged: 2026-07-05 10:16:59 UTC; root