Package: CytoDx 1.32.0

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_1.32.0.tar.gz
CytoDx_1.32.0.zip(r-4.7)CytoDx_1.32.0.zip(r-4.6)CytoDx_1.32.0.zip(r-4.5)
CytoDx_1.32.0.tgz(r-4.6-any)CytoDx_1.32.0.tgz(r-4.5-any)
CytoDx_1.32.0.tar.gz(r-4.7-any)CytoDx_1.32.0.tar.gz(r-4.6-any)
CytoDx_1.32.0.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-release.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:6a65eaad35 (on RELEASE_3_23). Checks:1 ERROR, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR157
linux-devel-x86_64OK270
source / vignettesOK255
linux-release-x86_64OK279
macos-release-arm64OK105
macos-oldrel-arm64OK140
windows-develOK149
windows-releaseOK220
windows-oldrelOK267
wasm-releaseOK126

Exports:CytoDx.fitCytoDx.predfcs2DFmeanUniquepRankrank.ub.averageset2DFtreeGate

Dependencies:BHBiobaseBiocGenericsbiocmakeclicodetoolscpp11cytolibdir.expirydoParalleldplyrfilelockflowCoreforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixmatrixStatspillarpkgconfigR6RcppRcppEigenRhdf5librlangrpartrpart.plotRProtoBufLibS4Vectorsshapesurvivaltibbletidyselectutf8vctrswithr

Introduction to CytoDx

Zicheng Hu

Rendered fromCytoDx_Vignette.Rmdusingknitr::rmarkdownon May 29 2026.

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