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A Method for Determining Taxonomical Contributions to Group Differences in Microbiomic Investigations

机译:确定微生物学研究中对群体差异的分类学贡献的方法

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摘要

>Here we show how one can decompose the contribution of different levels of taxonomic classification in terms of their impact on differences in the microbiota when comparing two groups. First we demonstrate a difficulty in trying to estimate taxonomic effects at multiple levels simultaneously and demonstrate an approach to determining which taxa have differences in means that are identified. We then develop a model based on an approach that is popular in the RNA-Seq analysis literature and apply it to the problem of determining which taxa differ between two patient groups. This model provides a more powerful method than simpler alternatives. A Bayesian computational strategy is used to obtain exact inference. Simulation studies indicate that the procedure works as intended, and an application to the study of COPD demonstrates the method's practical utility. Software is provided for implementing the method.
机译:>这里,我们展示了当比较两组时,如何分解不同级别的分类学分类对微生物群落差异的影响。首先,我们展示了试图同时在多个级别上评估生物分类学效果的困难,并展示了一种确定哪种分类群在所识别均值上存在差异的方法。然后,我们基于RNA-Seq分析文献中流行的方法开发模型,并将其应用于确定两个患者组之间哪些分类单元不同的问题。与更简单的替代方法相比,此模型提供了更强大的方法。贝叶斯计算策略用于获得精确的推断。仿真研究表明,该程序可以按预期工作,并且在COPD研究中的应用证明了该方法的实用性。提供了用于实施该方法的软件。

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