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Identifying ion channel genes related to cardiomyopathy using a novel decision forest strategy.

作者信息

Zhang Jie, Wang Guanghua, Feng Jian, Zhang LiJuan, Li Jue

机构信息

Department of Prevention, Tongji University School of Medicine, Shanghai, China.

出版信息

Mol Biosyst. 2014 Jul 29;10(9):2407-14. doi: 10.1039/c4mb00193a.

DOI:10.1039/c4mb00193a
PMID:24977958
Abstract

Ion channels play many crucial functions in life. Their dysfunction may lead to a number of diseases, such as arrhythmia and beta cell dysfunction. In this study, we firstly selected the ion channel gene expression profiles using a dimensionality reduction method. After that, we applied a novel decision forest strategy to mine cardiomyopathy related ion channel genes. The novel proposed Zi integrated the information of the decision trees' height and the frequency at which a gene was located in the tree. It achieved a much higher ability of feature selection. In the result, 26 cardiomyopathy related ion channel genes were identified. Their Zi were higher than the threshold Z*. Furthermore, most of these genes had been reported to have relationships with cardiomyopathies. In conclusion, our proposed decision forest strategy had a better classification performance. Our result can provide a theoretical basis for cardiovascular researchers.

摘要

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