CytoDx
Robust prediction of clinical outcomes using cytometry data without cell gating
Bioconductor version: 3.23 · Package version: 1.32.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CytoDx")Details
| Maintainer | Zicheng Hu <zicheng.hu@ucsf.edu> |
| Author | Zicheng Hu |
| License | GPL-2 |
| Downloads rank | 378 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, CellBiology, Classification, FlowCytometry, ImmunoOncology, Regression, Software, StatisticalMethod, Survival |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | CytoDx_1.32.0.tar.gz |
| Windows binary (x86_64) | CytoDx_1.32.0.zip |
| macOS binary (arm64) | CytoDx_1.32.0.tgz |
| macOS binary (x86_64) | CytoDx_1.32.0.tgz |
Dependencies
Depends: R (>= 3.5)
Imports: doParallel, dplyr, glmnet, rpart, rpart.plot, stats, flowCore, grDevices, graphics, utils