Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis.

ABSTRACT:

Background

It has been shown that the deregulation of miRNAs is associated with the development and progression of many human diseases. To reduce time and cost of biological experiments, a number of algorithms have been proposed for predicting miRNA-disease associations. However, the existing methods rarely investigated the cause-and-effect mechanism behind these associations, which hindered further biomedical follow-ups.

Results

In this study, we presented a CCA-based model in which the possible molecular causes of miRNA-disease associations were comprehensively revealed by extracting correlated sets of genes and diseases based on the co-occurrence of miRNAs in target gene profiles and disease profiles. Our method directly suggested the underlying genes involved, which coul

SUBMITTER: Chen H 

PROVIDER: S-EPMC6657378 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature