TWO APPLICATIONS OF PERMUTATION TESTS IN BIOSTASTICS.

Luis León-Novelo, Kaisa M Kemppainen, Alexandria Ardissone, Austin Davis-Richardson, Jennie Fagen, Kelsey Gano, Eric W Triplett
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Abstract

We show two examples of how we answer biological questions by converting them into statistical hypothesis testing problems. We consider gene abundance data, and apply permutation tests. Though these tests are simple, they allow us to test biologically relevant hypotheses. Here we present the analysis of data rising from two studies on Type 1 Diabetes. In the first study [3] are interested in comparing the gut bacterial biodiversity in children at risk and not at risk of developing diabetes. In the second study, [4] compare the gut bacterial biodiversity of children in six different sites in USA and Europe. The statistical analyses presented here are parts of the "statistical methods" in two papers mentioned above. Here we offer a detailed explanation of the "Statistical Methods" addressed to readers with a statistics background.

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排列检验在生物品尝学中的两个应用。
我们展示了两个例子,说明我们如何通过将生物学问题转化为统计假设检验问题来回答这些问题。我们考虑基因丰度数据,并应用排列检验。尽管这些测试很简单,但它们使我们能够测试与生物学相关的假设。在这里,我们对两项1型糖尿病研究的数据进行分析。在第一项研究[3]中,我们感兴趣的是比较有糖尿病风险和没有糖尿病风险的儿童的肠道细菌生物多样性。在第二项研究中,[4]比较了美国和欧洲六个不同地区儿童的肠道细菌生物多样性。这里介绍的统计分析是上述两篇论文中“统计方法”的一部分。在这里,我们向有统计学背景的读者详细解释“统计方法”。
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