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

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

Research output: Contribution to journalArticle

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.

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MicroRNAs
Genes
Aging of materials
Tissue
Messenger RNA
Gene expression
Ontology
Benchmarking
Gene Ontology
Information Storage and Retrieval
Gene Expression Regulation
Experiments
Datasets

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Supervised method for construction of microRNA-mRNA networks : application in cardiac tissue aging dataset. / Dimitrakopoulos, Georgios N.; Dimitrakopoulou, Konstantina; Maraziotis, Ioannis A.; Sgarbas, Kyriakos; Bezerianos, Anastasios.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2014, 2014, p. 318-321.

Research output: Contribution to journalArticle

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