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

机译:使用Ripley K函数沿细胞长丝沿细胞聚类的统计分析

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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:沿着一维结构的分子空间分布,例如细胞骨架的细丝,赋予细胞内传输机制的基本信息。分析分子组织的标准工具是RIP-LEY的K功能,这允许在统计上测试分子对聚类或分散的随机分布的假设。然而,目前基于Monte-Carlo模拟的Ripley K函数的临界量级的计算,这诱导了高计算负载并阻碍了其使用。在这里,我们介绍了这些定量对1D细丝的分析表达,导致快速且稳健的统计测试。此后,我们利用我们的统计测试来分析沿着寄生虫的鞭毛血管膜腹腔内携带植入尿布的蛋白质的空间分布。

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