Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset

Author

Dimitrakopoulos, Georgios N. ; Dimitrakopoulou, Konstantina ; Maraziotis, Ioannis A. ; Sgarbas, Kyriakos ; Bezerianos, Anastasios

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Patras, Patras, Greece

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

318

Lastpage

321

Abstract

MicroRNAs play an important role in regulation of gene expression, but still detection of their targets remains a challenge. In this work we present a supervised regulatory network inference method with aim to identify potential target genes (mRNAs) of microRNAs. Briefly, the proposed method exploiting mRNA and microRNA expression trains Random Forests on known interactions and subsequently it is able to predict novel ones. In parallel, we incorporate different available data sources, such as Gene Ontology and ProteinProtein Interactions, to deliver biologically consistent results. Application in both benchmark data and an experiment studying aging showed robust performance.

Keywords

RNA; bioinformatics; biological tissues; cardiology; genetics; genomics; ontologies (artificial intelligence); proteins; random processes; Gene Ontology; Protein-Protein Interactions; benchmark data; cardiac tissue aging dataset; data sources; experiment studying aging; gene expression regulation; microRNA expression trains Random Forests; microRNA-mRNA network construction; supervised regulatory network inference method; target detection; target genes; Aging; Bioinformatics; Diseases; Educational institutions; Gene expression; Radio frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6943593

Filename

6943593