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
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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'))

Peer review:

On BioConductor:CytoDx-1.25.0(bioc 3.20)CytoDx-1.24.0(bioc 3.19)

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 255 downloads 8 exports 39 dependencies

Last updated 23 days agofrom:05557f1dff. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:CytoDx.fitCytoDx.predfcs2DFmeanUniquepRankrank.ub.averageset2DFtreeGate

Dependencies:BHBiobaseBiocGenericsclicodetoolscpp11cytolibdoParalleldplyrfansiflowCoreforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixmatrixStatspillarpkgconfigR6RcppRcppEigenRhdf5librlangrpartrpart.plotRProtoBufLibS4Vectorsshapesurvivaltibbletidyselectutf8vctrswithr

Introduction to CytoDx

Zicheng Hu

Rendered fromCytoDx_Vignette.Rmdusingknitr::rmarkdownon Oct 30 2024.

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