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

A trajectory inference toolkit for flow and mass cytometry data. CytoTree is a valuable tool to build a tree-shaped trajectory using flow and mass cytometry data. The application of CytoTree ranges from clustering and dimensionality reduction to trajectory reconstruction and pseudotime estimation. It offers complete analyzing workflow for flow and mass cytometry data.

Getting started

Package details

Bioconductor views CellBasedAssays CellBiology Clustering FlowCytometry Network NetworkInference Software Visualization
URL http://www.r-project.org https://github.com/JhuangLab/CytoTree
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
JhuangLab/CytoTree documentation built on Nov. 16, 2020, 7:23 a.m.