Gene sets enrichment analysis of miRNA expression profile

Tzu Hung Hsiao; Hung I.Harry Chen; Patricia C. Sanchez-Diaz; Jaclyn Y. Hung; Yidong Chen; Yufei Huang

doi:10.1109/BIBMW.2011.6112413

Gene sets enrichment analysis of miRNA expression profile

Tzu Hung Hsiao, Hung I.Harry Chen, Patricia C. Sanchez-Diaz, Jaclyn Y. Hung, Yidong Chen, Yufei Huang

Department of Pediatrics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages	449-454
Number of pages	6
DOIs	https://doi.org/10.1109/BIBMW.2011.6112413
State	Published - 2011
Event	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States Duration: Nov 12 2011 → Nov 15 2011

Publication series

Name	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Country/Territory	United States
City	Atlanta, GA
Period	11/12/11 → 11/15/11

Keywords

gene regulation
miRNA
pathway analysis

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.1109/BIBMW.2011.6112413

Cite this

Hsiao, T. H., Chen, H. I. H., Sanchez-Diaz, P. C., Hung, J. Y., Chen, Y., & Huang, Y. (2011). Gene sets enrichment analysis of miRNA expression profile. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 (pp. 449-454). Article 6112413 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). https://doi.org/10.1109/BIBMW.2011.6112413

Gene sets enrichment analysis of miRNA expression profile. / Hsiao, Tzu Hung; Chen, Hung I.Harry; Sanchez-Diaz, Patricia C. et al.
2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. p. 449-454 6112413 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hsiao, TH, Chen, HIH, Sanchez-Diaz, PC, Hung, JY, Chen, Y & Huang, Y 2011, Gene sets enrichment analysis of miRNA expression profile. in 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011., 6112413, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, pp. 449-454, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, Atlanta, GA, United States, 11/12/11. https://doi.org/10.1109/BIBMW.2011.6112413

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abstract = "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.",

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author = "Hsiao, {Tzu Hung} and Chen, {Hung I.Harry} and Sanchez-Diaz, {Patricia C.} and Hung, {Jaclyn Y.} and Yidong Chen and Yufei Huang",

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Gene sets enrichment analysis of miRNA expression profile

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Keywords

ASJC Scopus subject areas

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