利用Ripley's K函数对细胞丝空间聚类的统计分析

Mariña López-Yunta, T. Lagache, J. Santi-Rocca, P. Bastin, J. Olivo-Marin
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引用次数: 4

摘要

分子沿着一维结构(如细胞骨架的细丝)的空间分布的分析,提供了细胞内运输机制的基本信息。分析分子组织的标准工具是Ripley’s K函数,它允许对分子随机分布的假设进行统计检验,反对聚类或分散。然而,目前Ripley的K函数的临界分位数的计算是基于蒙特卡罗模拟的,这导致了很高的计算负荷,阻碍了它的使用。在这里,我们提出了这些分位数的一维细丝的解析表达式,导致一个快速和稳健的统计检验。随后,我们利用统计检验分析了布鲁氏型Typanosoma bruei鞭毛鞭毛内运输相关蛋白的空间分布。
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A statistical analysis of spatial clustering along cell filaments using Ripley's K function
The analysis of the spatial distribution of molecules along one dimensional structures, such as filaments of the cell's cytoskeleton, gives essential information on intracellular transport mechanisms. The standard tool for analyzing molecules' organizationis the Ripley's K function, which permits to statistically test the hypothesis of molecules' random distribution against clustering or dispersion. However, the computation of the critical quantiles of Ripley's K function is currently based on Monte-Carlo simulations, which induces a high computational load and hinders its use. Here, we present an analytical expression of these quantiles for 1D filaments, leading to a fast and robust statistical test. Thereafter, we used our statistical test to analyze the spatial distribution of proteins involved in intraflagellar transport along the flagellum of the parasite Typanosoma brucei.
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