使用关联规则上的排列测试测试基因型-表型关系。

IF 0.8 4区 数学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Statistical Applications in Genetics and Molecular Biology Pub Date : 2015-02-01 DOI:10.1515/sagmb-2014-0033
Mateen Shaikh, Joseph Beyene
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引用次数: 2

摘要

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

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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来源期刊
Statistical Applications in Genetics and Molecular Biology
Statistical Applications in Genetics and Molecular Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
自引率
11.10%
发文量
8
期刊介绍: Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.
期刊最新文献
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