Searching for microRNA prostate cancer target genes

Authors:
Francesco Masulli;Alessandro Parini;Stefano Rovetta;Giuseppe Russo
Affiliations:
Department of Computer and Information Sciences, University of Genova, Genova, Italy and Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Temple University, P ...;Department of Computer and Information Sciences, University of Genova, Genova, Italy;Department of Computer and Information Sciences, University of Genova, Genova, Italy;Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Temple University, Philadelphia, PA and Department of Computer and Information Sciences, University of Genova ...
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

MicroRNAs are a class of short, non-coding RNA regulating the expression of genes involved in several biological processes. This paper addresses the computational identification of target genes for microRNAs, in particular those involved in the development of prostate cancer. The available tools, in particular the miRanda program, need to be validated against biological evidence. We identify several refinement of the algorithm, and provide an optimization of the parameters involved, by means of a genetic algorithm, so as to maximize the adherence of results to biological evidence. The increased selectivity of the method may also be used to guide experimental validation in a more focused direction.