Gene Sets Enrichment Analysis of miRNA Expression Profile

被引:0
作者
Hsiao, Tzu-Hung [1 ]
Chen, Hung-I Harry [1 ]
Sanchez-Diaz, Patricia C. [1 ]
Hung, Jaclyn Y. [1 ,3 ]
Chen, Yidong [1 ,2 ]
Huang, Yufei [1 ,4 ]
机构
[1] Univ Texas Hlth Sci Ctr San Antonio, Greehey Childrens Canc Res Inst, San Antonio, TX 78229 USA
[2] Univ Texas Hlth Sci Ctr San Antonio, Dept Epidemiol & Biostat, San Antonio, TX 78229 USA
[3] Univ Texas Hlth Sci Ctr San Antonio, Dept Pediat, San Antonio, TX 78229 USA
[4] Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX USA
来源
2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS | 2011年
关键词
miRNA; gene regulation; pathway analysis; MICRORNAS;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Alteration in expression levels of genes as well as their regulatory components, such as those levels of miRNAs in cancer cells will likely reflect in the enrichment of unique cellular functions and biological processes in their corresponding cell systems. By employing systems biology approaches, and instead of examining individual gene, we will directly and unambiguously identify the regulatory pathways and biological processes that are distinctive to specific disease states or responses to therapeutic treatment. In this study, we employ gene set enrichment analysis inspired method to explore the functional regulation of miRNAs. The analysis integrated a mathematic model that associates miRNAs to gene sets through miRNA target genes with a statistic test of enrichment to study the regulation change at a specific pathway. Different from conventional individual miRNA processing procedures, our method enables researchers to construct regulation hypothesis at pathway and functional levels.
引用
收藏
页码:449 / 454
页数:6
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