Age-related subpathway detection through meta-analysis of multiple gene expression datasets

Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Panos Balomenos, Kyriakos Sgarbas, Anastasios Bezerianos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel perspective of systems biology is the incorporation of pathway structure data along with transcriptomics studies. In parallel, the plethora of high-throughput experimental studies necessitates employment of meta-analysis approaches in order to obtain more biologically consistent results. Towards this orientation we developed a subpathway-based meta-analysis method that integrates human pathway maps along with multiple human mRNA expression experiments. Our method succeeded to identify known age-related subpathways as differentially expressed exploiting several independent muscle-specific aging studies. Finally, our method is applicable in several complex biological problems where massive amount of time series expression data is available.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Digital Signal Processing, DSP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages539-542
Number of pages4
ISBN (Electronic)9781479980581, 9781479980581
DOIs
StatePublished - Sep 9 2015
EventIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
Duration: Jul 21 2015Jul 24 2015

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2015-September

Other

OtherIEEE International Conference on Digital Signal Processing, DSP 2015
CountrySingapore
CitySingapore
Period7/21/157/24/15

Keywords

  • aging
  • meta-analysis
  • microarrays
  • pathways
  • subpathways

ASJC Scopus subject areas

  • Signal Processing

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    Dimitrakopoulos, G. N., Vrahatis, A. G., Balomenos, P., Sgarbas, K., & Bezerianos, A. (2015). Age-related subpathway detection through meta-analysis of multiple gene expression datasets. In 2015 IEEE International Conference on Digital Signal Processing, DSP 2015 (pp. 539-542). [7251931] (International Conference on Digital Signal Processing, DSP; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2015.7251931