(2015). Age-related subpathway detection through meta-analysis of multiple gene expression datasets. In 2015 IEEE International Conference on Digital Signal Processing (DSP) (pp. 539–542). IEEE. https://doi.org/10.1109/icdsp.2015.7251931
Περίληψη
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.
- DOI
- 10.1109/icdsp.2015.7251931
- Τύπος
- Άρθρο σε Πρακτικά Συνεδρίου
- Έτος
- 2015
Σύνδεσμοι
BibTeX
@inproceedings{dimitrakopoulos2015age,
title = {Age-related subpathway detection through meta-analysis of multiple gene expression datasets},
author = {Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis and Panos Balomenos and Kyriakos Sgarbas and Anastasios Bezerianos},
url = {https://doi.org/10.1109/icdsp.2015.7251931},
doi = {10.1109/icdsp.2015.7251931},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Conference on Digital Signal Processing (DSP)},
volume = {6},
pages = {539–542},
publisher = {IEEE},
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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}