Cytomulate: accurate and efficient simulation of CyTOF data.
Cytomulate: accurate and efficient simulation of CyTOF data.
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DOI：
10.1186/s13059-023-03099-1
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发表时间：
2023-11-16
期刊：
影响因子：
12.3
通讯作者：
中科院分区：
文献类型：
--
作者：
最近，已经设计了许多分析工具来提供对通过飞行时间(CyTOF)的细胞学产生的数据的洞察。然而，对这些方法的客观评价仍然缺乏，因为大多数评价是根据实际数据进行的，而基本事实通常是未知的。在本文中，我们开发了一种可重复性高、精度高的细胞周期数据模拟算法--Cytomulate，为以后的方法开发和评估奠定了基础。我们证明了Cytomate可以捕获CyTOF数据的各种特征，并且在学习整体数据分布方面优于面向单细胞RNA序列的方法(如scDesign2、Splter)和生成模型(如Lambda)。网上版载有补充材料，可在10.1186/s13059-023-03099-1查阅。
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. The online version contains supplementary material available at 10.1186/s13059-023-03099-1.
影响因子：
2.2
作者：
Leipold MD;Obermoser G;Fenwick C;Kleinstuber K;Rashidi N;McNevin JP;Nau AN;Wagar LE;Rozot V;Davis MM;DeRosa S;Pantaleo G;Scriba TJ;Walker BD;Olsen LR;Maecker HT
通讯作者：
Maecker HT