CytoDx

DOI: 10.18129/B9.bioc.CytoDx    

This is the development version of CytoDx; for the stable release version, see CytoDx.

Robust prediction of clinical outcomes using cytometry data without cell gating

Bioconductor version: Development (3.8)

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 and enter:

if (!requireNamespace("BiocManager", quietly=TRUE))
    install.packages("BiocManager")
BiocManager::install("CytoDx", version = "devel")

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, Regression, Software, StatisticalMethod, Survival
Version 1.1.1
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
Build Report  

Package Archives

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

Source Package CytoDx_1.1.1.tar.gz
Windows Binary CytoDx_1.1.1.zip
Mac OS X 10.11 (El Capitan) CytoDx_1.1.1.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 http://bioconductor.org/packages/CytoDx/
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