This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see CytoDx.
Bioconductor version: 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 (from within R,
enter citation("CytoDx")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CytoDx")
R Script | Introduction to CytoDx | |
Reference Manual | ||
Text | NEWS |
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 |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
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 |
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