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CytoDx

Robust prediction of clinical outcomes using cytometry data without cell gating


Bioconductor version: Release (3.18)

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, enter citation("CytoDx")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CytoDx")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CytoDx")
Introduction to CytoDx PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews CellBasedAssays, CellBiology, Classification, FlowCytometry, ImmunoOncology, Regression, Software, StatisticalMethod, Survival
Version 1.22.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-2
Depends R (>= 3.5)
Imports doParallel, dplyr, glmnet, rpart, rpart.plot, stats, flowCore, grDevices, graphics, utils
System Requirements
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Suggests knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CytoDx_1.22.0.tar.gz
Windows Binary CytoDx_1.22.0.zip
macOS Binary (x86_64) CytoDx_1.22.0.tgz
macOS Binary (arm64) CytoDx_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CytoDx
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CytoDx
Bioc Package Browser https://code.bioconductor.org/browse/CytoDx/
Package Short Url https://bioconductor.org/packages/CytoDx/
Package Downloads Report Download Stats