Prediction of associations between OMIM diseases and microRNAs by random walk on OMIM disease similarity network.

ABSTRACT: Increasing evidence has revealed that microRNAs (miRNAs) play important roles in the development and progression of human diseases. However, efforts made to uncover OMIM disease-miRNA associations are lacking and the majority of diseases in the OMIM database are not associated with any miRNA. Therefore, there is a strong incentive to develop computational methods to detect potential OMIM disease-miRNA associations. In this paper, random walk on OMIM disease similarity network is applied to predict potential OMIM disease-miRNA associations under the assumption that functionally related miRNAs are often associated with phenotypically similar diseases. Our method makes full use of global disease similarity values. We tested our method on 1226 known OMIM disease-miRNA associations in the frame

SUBMITTER: Chen H 

PROVIDER: S-EPMC3615631 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature