一个可视化和分析肿瘤内异质性空间模型的R包

Phillip B. Nicol, Dániel L. Barabási, Kevin R. Coombes, Amir Asiaee
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引用次数: 0

摘要

癌症的进展,包括肿瘤内异质性的发展,本质上是一个空间过程。肿瘤进化的数学模型可能是理解在空间生长中可能出现的异质性模式的有用起点。一个普遍研究的空间生长模型假设肿瘤细胞占据晶格上的位置并复制到邻近的位置。我们的R包SITH为探索这个模型提供了一个方便的接口。我们高效的模拟算法允许用户在一分钟内生成具有数百万细胞的3D肿瘤。对于突变在整个肿瘤中的分布,SITH提供了交互式图形和汇总图。此外,通过从模拟肿瘤中取样,SITH可以生成合成的大块和单细胞DNA-seq数据集。简化的应用程序编程接口(API)使SITH成为研究空间生长和肿瘤内异质性之间关系的有用工具。SITH是CRAN的一部分,可以通过在R控制台中运行install.packages(“SITH”)来安装。请参阅https://CRAN.R-project.org/package=SITH获取用户手册和软件包说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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SITH: An R package for visualizing and analyzing a spatial model of intratumor heterogeneity

Cancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution may be a useful starting point for understanding the patterns of heterogeneity that can emerge in the presence of spatial growth. A commonly studied spatial growth model assumes that tumor cells occupy sites on a lattice and replicate into neighboring sites. Our R package SITH provides a convenient interface for exploring this model. Our efficient simulation algorithm allows for users to generate 3D tumors with millions of cells in under a minute. For the distribution of mutations throughout the tumor, SITH provides interactive graphics and summary plots. Additionally, SITH can produce synthetic bulk and single-cell DNA-seq datasets by sampling from the simulated tumor. A streamlined application programming interface (API) makes SITH a useful tool for investigating the relationship between spatial growth and intratumor heterogeneity. SITH is a part of CRAN and can be installed by running install.packages(“SITH”) from the R console. See https://CRAN.R-project.org/package=SITH for the user manual and package vignette.

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CiteScore
2.80
自引率
0.00%
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审稿时长
8 weeks
期刊最新文献
Unraveling the dangerous duet between cancer cell plasticity and drug resistance Issue Information Generative adversarial networks applied to gene expression analysis: An interdisciplinary perspective Issue Information Role of heterogeneity in dictating tumorigenesis in epithelial tissues
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