频繁模式挖掘概述。

Q2 Agricultural and Biological Sciences Genomics and Informatics Pub Date : 2022-12-01 DOI:10.5808/gi.22074

Jurg Ott, Taesung Park

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引用次数: 3

摘要

频繁模式挖掘的各种方法已应用于遗传问题，特别是在不同DNA变异与疾病的两种基因型(一种基因型模式或二倍型)的联合关联。这些方法能够选择出在受影响个体中比未受影响个体更常见的基因型模式，并且这些选择模式的统计显著性评估提出了一些独特的问题，这里简要概述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Overview of frequent pattern mining.

Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected individuals, and the assessment of statistical significance for these selected patterns poses some unique problems, which are briefly outlined here.

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