This is the development version of CytoDx; for the stable release version, see CytoDx.
Robust prediction of clinical outcomes using cytometry data without cell gatingBioconductor version: Development (3.22)
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.
Author: Zicheng Hu
Maintainer: Zicheng Hu <zicheng.hu at ucsf.edu>
Citation (from within R, entercitation("CytoDx")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CytoDx")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CytoDx")
Details biocViews CellBasedAssays, CellBiology, Classification, FlowCytometry, ImmunoOncology, Regression, Software, StatisticalMethod, Survival Version 1.29.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License GPL-2 Depends R (>= 3.5) Imports doParallel, dplyr, glmnet, rpart, rpart.plot, stats, flowCore, grDevices, graphics, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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