Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling.

ABSTRACT:

Motivation

The interaction of miRNA and lncRNA is known to be important for gene regulations. However, not many computational approaches have been developed to analyze known interactions and predict the unknown ones. Given that there are now more evidences that suggest that lncRNA-miRNA interactions are closely related to their relative expression levels in the form of a titration mechanism, we analyzed the patterns in large-scale expression profiles of known lncRNA-miRNA interactions. From these uncovered patterns, we noticed that lncRNAs tend to interact collaboratively with miRNAs of similar expression profiles, and vice versa.

Results

By representing known interaction between lncRNA and miRNA as a bipartite graph, we propose here a technique, called EPLMI, to construct a

SUBMITTER: Huang YA 

PROVIDER: S-EPMC6192210 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature