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Authors: Péter Marx 1 ; Bence Bolgár 2 ; András Gézsi 3 ; Attila Gulyás-Kovács 2 and Péter Antal 2

Affiliations: 1 Budapest University of Technology and Economics and MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungary ; 2 Budapest University of Technology and Economics, Hungary ; 3 Semmelweiss University, Hungary

ISBN: 978-989-758-012-3

Keyword(s): microRNA, microRNA Target, Kernel Methods, Multiple Kernel Learning, Gene Prioritization.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Data Mining and Machine Learning ; Pattern Recognition, Clustering and Classification ; Systems Biology ; Transcriptomics

Abstract: microRNAs form a complex regulatory network with thousands of target genes. This network is known to suffer specific, but largely elusive, genetic perturbations in various types of disease. Accurate prioritization of microRNAs for each disease type would elucidate those perturbations and so facilitate therapeutic and diagnostic design. The multiple target profiles of microRNAs stemming from various experimental and in silico methods allow the definition of wide range of similarities over microRNAs, but the combined use of these of heterogeneous similarities was not utilized in the gene prioritization approach. Using microRNAs as bases, prioritization with a disease-specific query set of microRNAs is straightforward once a microRNAmicroRNA similarity matrices have been derived. Here we demonstrate the application of a one-class version of the multiple kernel learning framework in order to fuse heterogeneous characteristics of microRNAs. We evaluate the method with breast cancer-specifi c queries, illustrate its technological aspects, and validate our results not only by standard leave-one-out cross validation, but also with a prospective evaluation. (More)

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Paper citation in several formats:
Marx, P.; Bolgár, B.; Gézsi, A.; Gulyás-Kovács, A. and Antal, P. (2014). MicroRNA Prioritization based on Target Profile Similarities.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014) ISBN 978-989-758-012-3, pages 278-285. DOI: 10.5220/0004925502780285

@conference{bioinformatics14,
author={Péter Marx. and Bence Bolgár. and András Gézsi. and Attila Gulyás{-}Kovács. and Péter Antal.},
title={MicroRNA Prioritization based on Target Profile Similarities},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)},
year={2014},
pages={278-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004925502780285},
isbn={978-989-758-012-3},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)
TI - MicroRNA Prioritization based on Target Profile Similarities
SN - 978-989-758-012-3
AU - Marx, P.
AU - Bolgár, B.
AU - Gézsi, A.
AU - Gulyás-Kovács, A.
AU - Antal, P.
PY - 2014
SP - 278
EP - 285
DO - 10.5220/0004925502780285

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