Testing genotypes-phenotype relationships using permutation tests on association rules.

Pub Date : 2015-02-01 DOI:10.1515/sagmb-2014-0033
Mateen Shaikh, Joseph Beyene
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引用次数: 2

Abstract

Association rule mining is a knowledge discovery technique which informs researchers about relationships between variables in data. These relationships can be focused to a specific set of response variables. We propose an augmented version of this method to discover groups of genotypes which relate to specific outcomes. We derive the methodology to find these candidate groups of genotypes and illustrate how the method works on data regarding neuroinvasive complications of West Nile virus and through simulation.

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使用关联规则上的排列测试测试基因型-表型关系。
关联规则挖掘是一种知识发现技术,它可以告诉研究人员数据中变量之间的关系。这些关系可以集中在一组特定的响应变量上。我们提出了这种方法的增强版本,以发现与特定结果相关的基因型组。我们推导了方法来找到这些候选基因型组,并说明该方法如何处理有关西尼罗河病毒神经侵入性并发症的数据,并通过模拟。
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