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 publicationInternational Conference on Digital Signal Processing, DSP
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages539-542
Number of pages4
Volume2015-September
ISBN (Print)9781479980581, 9781479980581
DOIs
StatePublished - Sep 9 2015
Externally publishedYes
EventIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
Duration: Jul 21 2015Jul 24 2015

Other

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

Fingerprint

Gene expression
Muscle
Time series
Aging of materials
Throughput
Experiments
Messenger RNA
Systems Biology

Keywords

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

ASJC Scopus subject areas

  • Signal Processing

Cite this

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 International Conference on Digital Signal Processing, DSP (Vol. 2015-September, pp. 539-542). [7251931] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2015.7251931

Age-related subpathway detection through meta-analysis of multiple gene expression datasets. / Dimitrakopoulos, Georgios N.; Vrahatis, Aristidis G.; Balomenos, Panos; Sgarbas, Kyriakos; Bezerianos, Anastasios.

International Conference on Digital Signal Processing, DSP. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. p. 539-542 7251931.

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

Dimitrakopoulos, GN, Vrahatis, AG, Balomenos, P, Sgarbas, K & Bezerianos, A 2015, Age-related subpathway detection through meta-analysis of multiple gene expression datasets. in International Conference on Digital Signal Processing, DSP. vol. 2015-September, 7251931, Institute of Electrical and Electronics Engineers Inc., pp. 539-542, IEEE International Conference on Digital Signal Processing, DSP 2015, Singapore, Singapore, 7/21/15. https://doi.org/10.1109/ICDSP.2015.7251931
Dimitrakopoulos GN, Vrahatis AG, Balomenos P, Sgarbas K, Bezerianos A. Age-related subpathway detection through meta-analysis of multiple gene expression datasets. In International Conference on Digital Signal Processing, DSP. Vol. 2015-September. Institute of Electrical and Electronics Engineers Inc. 2015. p. 539-542. 7251931 https://doi.org/10.1109/ICDSP.2015.7251931
Dimitrakopoulos, Georgios N. ; Vrahatis, Aristidis G. ; Balomenos, Panos ; Sgarbas, Kyriakos ; Bezerianos, Anastasios. / Age-related subpathway detection through meta-analysis of multiple gene expression datasets. International Conference on Digital Signal Processing, DSP. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. pp. 539-542
@inproceedings{5cd11276cad24de3ac5c0d17a2974f48,
title = "Age-related subpathway detection through meta-analysis of multiple gene expression datasets",
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.",
keywords = "aging, meta-analysis, microarrays, pathways, subpathways",
author = "Dimitrakopoulos, {Georgios N.} and Vrahatis, {Aristidis G.} and Panos Balomenos and Kyriakos Sgarbas and Anastasios Bezerianos",
year = "2015",
month = "9",
day = "9",
doi = "10.1109/ICDSP.2015.7251931",
language = "English (US)",
isbn = "9781479980581",
volume = "2015-September",
pages = "539--542",
booktitle = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Age-related subpathway detection through meta-analysis of multiple gene expression datasets

AU - Dimitrakopoulos, Georgios N.

AU - Vrahatis, Aristidis G.

AU - Balomenos, Panos

AU - Sgarbas, Kyriakos

AU - Bezerianos, Anastasios

PY - 2015/9/9

Y1 - 2015/9/9

N2 - 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.

AB - 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.

KW - aging

KW - meta-analysis

KW - microarrays

KW - pathways

KW - subpathways

UR - http://www.scopus.com/inward/record.url?scp=84961333345&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961333345&partnerID=8YFLogxK

U2 - 10.1109/ICDSP.2015.7251931

DO - 10.1109/ICDSP.2015.7251931

M3 - Conference contribution

AN - SCOPUS:84961333345

SN - 9781479980581

SN - 9781479980581

VL - 2015-September

SP - 539

EP - 542

BT - International Conference on Digital Signal Processing, DSP

PB - Institute of Electrical and Electronics Engineers Inc.

ER -