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Oxford University Press (OUP), Bioinformatics, 3(30), p. 392-397

DOI: 10.1093/bioinformatics/btt677

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Protein-driven inference of miRNA–disease associations

Journal article published in 2013 by Søren Mørk, Sune Pletscher-Frankild, Albert Palleja Caro, Albert Palleja Caro, Jan Gorodkin, Lars Juhl Jensen ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA–disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction methods do not explicitly facilitate forming hypotheses about the possible molecular causes of the association, thereby making the path to experimental follow-up longer.