CytoTree-package: Visualization and analyzation for flow cytometry data

In JhuangLab/CytoTree: A Toolkit for Flow And Mass Cytometry Data

Description

Functions and methods to visualize and analyze flow cytometry data.

Details

Package:	CytoTree
Type:	Package
Version:	1.0.3
Date:	2020-11-11
License:	GPL-3.0

While high-dimensional single-cell based flow and mass cytometry data has demonstrated increased applications in microenvironment composition and stem-cell research, integrated analyzing workflow design for experimental cytometry data has been challenging. Here, we present CytoTree, an R package designed for the analysis and interpretation of flow and mass cytometry data. We have applied CytoTree to mass cytometry and time course flow cytometry data to validate the usage and practical utility of its computational modules. These use cases introduce CytoTree as a reliable tool for high-dimensional cytometry data workflow and reveal good performance on trajectory reconstruction and pseudotime estimation.

Author(s)

Maintainer: Yuting Dai <[e-mail]> Authors: Yuting Dai

Examples

if (FALSE) {
## examples go here
## See vignette tutorials
vignette(package = "CytoTree")
}

JhuangLab/CytoTree documentation built on Nov. 16, 2020, 7:23 a.m.