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Formal concept analysis for mining hypermethylated genes in breast cancer tumor subtypes

机译:挖掘乳腺癌肿瘤亚型中高甲基化基因的形式概念分析

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摘要

The main purpose of this paper is to show the use of formal concept analysis (FCA) as data mining approach for mining the common hypermethylated genes between breast cancer subtypes, by extracting formal concepts which representing sets of significant hypermethylated genes for each breast cancer subtypes, then the formal context is built which leading to construct a concept lattice which is composed of formal concepts. This lattice can be used as knowledge discovery and knowledge representation therefore, becoming more interesting for the biologists.
机译:本文的主要目的是通过提取表示每种乳腺癌亚型的重要高甲基化基因集的形式概念,来展示形式概念分析(FCA)作为数据挖掘方法来挖掘乳腺癌亚型之间常见的高甲基化基因的方法,然后建立形式上下文,从而构建一个由形式概念组成的概念格。因此,该晶格可以用作知识发现和知识表示,这对生物学家来说变得越来越有趣。

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