Network Diffusion Approach to Predict LncRNA Disease Associations Using Multi-Type Biological Networks: LION.

ABSTRACT: Recently, long-non-coding RNAs (lncRNAs) have attracted attention because of their emerging role in many important biological mechanisms. The accumulating evidence indicates that the dysregulation of lncRNAs is associated with complex diseases. However, only a few lncRNA-disease associations have been experimentally validated and therefore, predicting potential lncRNAs that are associated with diseases become an important task. Current computational approaches often use known lncRNA-disease associations to predict potential lncRNA-disease links. In this work, we exploited the topology of multi-level networks to propose the LncRNA rankIng by NetwOrk DiffusioN (LION) approach to identify lncRNA-disease associations. The multi-level complex network consisted of lnc

SUBMITTER: Sumathipala M 

PROVIDER: S-EPMC6646690 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature