Package: CytoDx 1.27.0

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_1.27.0.tar.gz
CytoDx_1.27.0.zip(r-4.5)CytoDx_1.27.0.zip(r-4.4)CytoDx_1.27.0.zip(r-4.3)
CytoDx_1.27.0.tgz(r-4.5-any)CytoDx_1.27.0.tgz(r-4.4-any)CytoDx_1.27.0.tgz(r-4.3-any)
CytoDx_1.27.0.tar.gz(r-4.5-noble)CytoDx_1.27.0.tar.gz(r-4.4-noble)
CytoDx_1.27.0.tgz(r-4.4-emscripten)CytoDx_1.27.0.tgz(r-4.3-emscripten)
CytoDx.pdf |CytoDx.html✨
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-1.27.0(bioc 3.21)CytoDx-1.26.0(bioc 3.20)

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 286 downloads 8 exports 39 dependencies

Last updated 5 months agofrom:05557f1dff. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-winOKMar 27 2025
R-4.5-macOKMar 27 2025
R-4.5-linuxOKMar 27 2025
R-4.4-winOKMar 27 2025
R-4.4-macOKMar 27 2025
R-4.4-linuxOKMar 27 2025
R-4.3-winOKMar 27 2025
R-4.3-macOKMar 27 2025

Exports:CytoDx.fitCytoDx.predfcs2DFmeanUniquepRankrank.ub.averageset2DFtreeGate

Dependencies:BHBiobaseBiocGenericsclicodetoolscpp11cytolibdoParalleldplyrfansiflowCoreforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixmatrixStatspillarpkgconfigR6RcppRcppEigenRhdf5librlangrpartrpart.plotRProtoBufLibS4Vectorsshapesurvivaltibbletidyselectutf8vctrswithr

Introduction to CytoDx

Zicheng Hu

Rendered fromCytoDx_Vignette.Rmdusingknitr::rmarkdownon Mar 27 2025.

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