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MicroRNA Set : A Novel Way to Uncover the Potential Black Box of Chronic Heart Failure in MicroRNA Microarray Analysis | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Research Article

MicroRNA Set : A Novel Way to Uncover the Potential Black Box of Chronic Heart Failure in MicroRNA Microarray Analysis

Guomin Shi1,2, Qinghua Cui3*, and Youyi Zhang1,2*

1Institute of Vascular Medicine, Peking University Third Hospital and Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, China 100191

2Academy for Advanced Interdisciplinary Studies, Peking University, No.5 Yiheyuan Rd Haidian District, Beijing, P.R.China 100871

3Department of Medical Informatics, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, P.R.China 100083

*Corresponding Author:
Dr. Youyi Zhang
Institute of Vascular Medicine,
Peking University Third Hospital and Key Laboratory of Molecular Cardiovascular Science,
Ministry of Education, Beijing, China 100191,
E-mail : [email protected]

Dr. Qinghua Cui
Department of Medical Informatics, Peking University Health Science Center,
No.38 Xueyuan Rd, Haidian District, Beijing,
P.R.China 100083,
E-mail: [email protected]

Received date: February 24, 2009; Accepted date: August 15, 2009; Published date: August 16, 2009

Citation: Shi G, Cui Q, Zhang Y (2009) MicroRNA Set : A Novel Way to Uncover the Potential Black Box of Chronic Heart Failure in MicroRNA Microarray Analysis. J Comput Sci Syst Biol 2:240-246. doi:10.4172/jcsb.1000036

Copyright: © 2009 Shi G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

As the prime criminal among all the cardio-vascular diseases, chronic heart failure (CHF) is still far from being fully understood after decades of study by researchers. The booming bioinformatics studies, especially the microRNA (miRNA) microarray analysis, have significantly accelerated the uncovering of underlying mechanisms of human diseases. However, these miRNA researches mainly focus on single miRNA, paying less attention to the group characteristics of miRNAs, which may ignore the group characteristics of miRNAs. Here we introduce a novel miRNA set concept incorporation with a group analysis method of CHF miRNA microarray expression. Our results show great accordance with previous studies, and also reveal potential characteristics of miRNAs in CHF. Furthermore, this novel miRNA set approach may give us new insights into other diseases studies as well.

Keywords

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