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A statistical analysis of spatial clustering along cell filaments using Ripley#039;s K function

机译:使用Ripley的K函数对沿细胞细丝的空间聚集进行统计分析

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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' organization is the Rip-ley'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.
机译:分子沿一维结构(例如细胞骨架的细丝)的空间分布分析提供了有关细胞内转运机制的基本信息。用于分析分子组织的标准工具是Rip-ley的K函数,该函数可以从统计学角度测试分子随机分布的假设,以防止聚类或分散。但是,Ripley K函数的关键分位数的计算当前基于蒙特卡洛模拟,这会导致较高的计算负荷并阻碍其使用。在这里,我们为一维细丝提供了这些分位数的解析表达式,从而实现了快速而强大的统计测试。此后,我们使用我们的统计测试来分析沿着布鲁氏菌Typanosoma brucei鞭毛的鞭毛内部运输中涉及的蛋白质的空间分布。

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