Cytomulate: Accurate and Efficient Simulation of CyTOF Data

Authors

• Yuqiu Yang
• Kaiwen Wang
• Zeyu Lu
• Tao Wang
• Xinlei Wang

Language

English

Publication Date

11-16-2023

Journal

Genome Biology

DOI

10.1186/s13059-023-03099-1

PMID

37974276

PMCID

PMC10652542

PubMedCentral® Posted Date

11-16-2023

PubMedCentral® Full Text Version

Post-print

Abstract

Recently, many analysis tools have been devised to offer insights into data generated via cytometry by time-of-flight (CyTOF). However, objective evaluations of these methods remain absent as most evaluations are conducted against real data where the ground truth is generally unknown. In this paper, we develop Cytomulate, a reproducible and accurate simulation algorithm of CyTOF data, which could serve as a foundation for future method development and evaluation. We demonstrate that Cytomulate can capture various characteristics of CyTOF data and is superior in learning overall data distributions than single-cell RNA-seq-oriented methods such as scDesign2, Splatter, and generative models like LAMBDA.

Keywords

Computer Simulation, Algorithms, Single-Cell Analysis, Flow Cytometry, CyTOF, Simulation, Proteomics

Published Open-Access

yes

Recommended Citation

Yang, Yuqiu; Wang, Kaiwen; Lu, Zeyu; et al., "Cytomulate: Accurate and Efficient Simulation of CyTOF Data" (2023). Faculty, Staff and Student Publications. 6749.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/6749