应用形式概念分析可视化乳腺癌肿瘤亚型DNA甲基化状态

2013 9th International Computer Engineering Conference (ICENCO) Pub Date : 2013-12-01 DOI:10.1109/ICENCO.2013.6736473

I. Amin, S. Kassim, A. Hassanien, H. Hefny

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引用次数: 3

摘要

在一些研究中，DNA甲基化与癌症有关。与基因相关的CpG位点的甲基化可以影响这些基因的表达。DNA甲基化可以用Illumina微阵列来测量。本文将形式概念分析(FCA)作为数据挖掘工具，通过构建形式概念，将每个亚型表示为一组重要的甲基化基因，然后构建形式上下文，从而构建概念格，从而可视化乳腺癌肿瘤亚型之间的DNA甲基化状态。概念格是所有概念集合的层次顺序。这个点阵显示了亚型之间高甲基化或低甲基化基因的状态。

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Applying formal concept analysis for visualizing DNA methylation status in breast cancer tumor subtypes

DNA methylation have been associated with cancer in several investigations. Methylation of CpG sites associated with genes can affect the expression of these genes. DNA methylation can be measured with Illumina microarrays. In this paper, formal concept analysis (FCA) is used as data mining tool to visualize the DNA methylation status among breast cancer tumor subtypes, by building formal concepts which represent each subtypes as a set of significant methylated genes, then the formal context is built which leads to construct a concept lattice. The concept lattice is the hierarchical order of the set of all concepts. This lattice visualizes the status of hypermethylated or hypomethylated genes among subtypes.

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2013 9th International Computer Engineering Conference (ICENCO)

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