Mining Co-regulated Genes Using Association Rules Combined with Hash-tree and Genetic Algorithms

Feng Qi Han, N. Rao
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引用次数: 9

Abstract

Genes with similar patterns of mRNA expression and similar functions are likely to be regulated via the same mechanisms. This work is based on Association Rules, combined with Hash-tree and Genetic Algorithm to mine co-regulated genes from yeast genome dataset by generating lots of co-regulated rules. The computer experiments verified the effectiveness of the proposed method. Comparing with the GO database, the results showed that some important relationships between the genes in function, component or process are found by our method. Some genes without annotation yet are also inferred to have similar functions with those annotated genes in same rule.
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结合哈希树和遗传算法的关联规则挖掘共调控基因
具有相似mRNA表达模式和相似功能的基因可能通过相同的机制受到调节。该工作基于关联规则,结合哈希树和遗传算法,通过生成大量的共调控规则,从酵母基因组数据集中挖掘共调控基因。计算机实验验证了该方法的有效性。结果表明,通过与GO数据库的比较,我们发现了基因在功能、成分或过程上的一些重要关系。一些未被注释的基因也被推断出与那些被注释的基因在相同规则下具有相似的功能。
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