hzc363/CytoDx: Robust prediction of clinical outcomes using cytometry data without cell gating

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.

Getting started

Package details

AuthorZicheng Hu
Bioconductor views CellBasedAssays CellBiology Classification FlowCytometry Regression Software StatisticalMethod Survival
MaintainerZicheng Hu <[email protected]>
LicenseGPL-2
Version1.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("hzc363/CytoDx")
hzc363/CytoDx documentation built on May 8, 2019, 11:56 p.m.