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
Browse package contents
Package details |
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| Author | Zicheng Hu |
| Bioconductor views | CellBasedAssays CellBiology Classification FlowCytometry Regression Software StatisticalMethod Survival |
| Maintainer | Zicheng Hu <zicheng.hu@ucsf.edu> |
| License | GPL-2 |
| Version | 1.1.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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