Package: CytoDx 1.33.0

Zicheng Hu

CytoDx: Robust prediction of clinical outcomes using cytometry data without cell gating

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.

Authors:Zicheng Hu

CytoDx_1.33.0.tar.gz
CytoDx_1.33.0.zip(r-4.7)CytoDx_1.33.0.zip(r-4.6)CytoDx_1.33.0.zip(r-4.5)
CytoDx_1.33.0.tgz(r-4.6-any)CytoDx_1.33.0.tgz(r-4.5-any)
CytoDx_1.33.0.tar.gz(r-4.7-any)CytoDx_1.33.0.tar.gz(r-4.6-any)
CytoDx_1.33.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CytoDx/json (API)
NEWS

# Install 'CytoDx' in R:
install.packages('CytoDx', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

On BioConductor:CytoDx-1.33.0(bioc 3.24)CytoDx-1.32.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologycellbiologyflowcytometrystatisticalmethodsoftwarecellbasedassaysregressionclassificationsurvival

4.00 score 8 scripts 382 downloads 8 exports 41 dependencies

Last updated from:0f9a68173a. Checks:1 ERROR, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR160
linux-devel-x86_64OK240
source / vignettesOK204
linux-release-x86_64OK253
macos-release-arm64OK137
macos-oldrel-arm64OK121
windows-develOK171
windows-releaseOK168
windows-oldrelOK178
wasm-releaseOK170

Exports:CytoDx.fitCytoDx.predfcs2DFmeanUniquepRankrank.ub.averageset2DFtreeGate

Dependencies:BHBiobaseBiocGenericsbiocmakeclicodetoolscpp11cytolibdir.expirydoParalleldplyrfilelockflowCoreforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixmatrixStatspillarpkgconfigR6RcppRcppEigenRhdf5librlangrpartrpart.plotRProtoBufLibS4Vectorsshapesurvivaltibbletidyselectutf8vctrswithr

Introduction to CytoDx

Zicheng Hu

Rendered fromCytoDx_Vignette.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2018-09-06
Started: 2018-02-21