Protein-driven inference of miRNA–disease associations | Zendy

Søren Mørk | Zendy; Sune Pletscher-Frankild | Zendy; Albert Pallejá | Zendy; Jan Gorodkin | Zendy; Lars Juhl Jensen | Zendy

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Protein-driven inference of miRNA–disease associations

Author(s) -

Søren Mørk,

Sune Pletscher-Frankild,

Albert Pallejá,

Jan Gorodkin,

Lars Juhl Jensen

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt677

Subject(s) - disease , inference , microrna , computational biology , biology , bioinformatics , gene , genetics , computer science , medicine , artificial intelligence , pathology

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.

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