CytoDx
Robust prediction of clinical outcomes using cytometry data without cell gating
Bioconductor version: Release (3.17)
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("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 | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | CellBasedAssays, CellBiology, Classification, FlowCytometry, ImmunoOncology, Regression, Software, StatisticalMethod, Survival |
Version | 1.20.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (5.5 years) |
License | GPL-2 |
Depends | R (>= 3.5) |
Imports | doParallel, dplyr, glmnet, rpart, rpart.plot, stats, flowCore, grDevices, graphics, utils |
Linking To | |
Suggests | knitr, rmarkdown |
System Requirements | |
Enhances | |
URL |
See More
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_1.20.0.tar.gz |
Windows Binary | CytoDx_1.20.0.zip (64-bit only) |
macOS Binary (x86_64) | CytoDx_1.20.0.tgz |
macOS Binary (arm64) | CytoDx_1.20.0.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 |