HelenaLC/CATALYST: Cytometry dATa anALYSis Tools

CATALYST provides tools for preprocessing of and differential discovery in cytometry data such as FACS, CyTOF, and IMC. Preprocessing includes i) normalization using bead standards, ii) single-cell deconvolution, and iii) bead-based compensation. For differential discovery, the package provides a number of convenient functions for data processing (e.g., clustering, dimension reduction), as well as a suite of visualizations for exploratory data analysis and exploration of results from differential abundance (DA) and state (DS) analysis in order to identify differences in composition and expression profiles at the subpopulation-level, respectively.

Getting started

Package details

Bioconductor views Clustering DataImport DifferentialExpression ExperimentalDesign FlowCytometry ImmunoOncology MassSpectrometry Normalization Preprocessing SingleCell Software StatisticalMethod Visualization
LicenseGPL (>=2)
URL https://github.com/HelenaLC/CATALYST
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
HelenaLC/CATALYST documentation built on April 1, 2024, 3:16 a.m.