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

Producción científica: Conference contribution

Resumen

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.

Idioma originalEnglish (US)
Título de la publicación alojada2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Páginas449-454
Número de páginas6
DOI
EstadoPublished - 2011
Evento2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duración: nov 12 2011nov 15 2011

Serie de la publicación

Nombre2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
País/TerritorioUnited States
CiudadAtlanta, GA
Período11/12/1111/15/11

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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