CytoDx

DOI: 10.18129/B9.bioc.CytoDx    

Robust prediction of clinical outcomes using cytometry data without cell gating

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

PDF	R Script	Introduction to CytoDx
PDF		Reference Manual
Text		NEWS

Details

biocViews	CellBasedAssays, CellBiology, Classification, FlowCytometry, ImmunoOncology, Regression, Software, StatisticalMethod, Survival
Version	1.12.0
In Bioconductor since	BioC 3.7 (R-3.5) (3.5 years)
License	GPL-2
Depends	R (>= 3.5)
Imports	doParallel, dplyr, glmnet, rpart, rpart.plot, stats, flowCore, grDevices, graphics, utils
LinkingTo
Suggests	knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	CytoDx_1.12.0.tar.gz
Windows Binary	CytoDx_1.12.0.zip
macOS 10.13 (High Sierra)	CytoDx_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CytoDx
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CytoDx
Package Short Url	https://bioconductor.org/packages/CytoDx/
Package Downloads Report	Download Stats