Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA.

ABSTRACT: Accumulating experimental studies have indicated that lncRNAs play important roles in various critical biological process and their alterations and dysregulations have been associated with many important complex diseases. Developing effective computational models to predict potential disease-lncRNA association could benefit not only the understanding of disease mechanism at lncRNA level, but also the detection of disease biomarkers for disease diagnosis, treatment, prognosis and prevention. However, known experimentally confirmed disease-lncRNA associations are still very limited. In this study, a novel model of HyperGeometric distribution for LncRNA-Disease Association inference (HGLDA) was developed to predict lncRNA-disease associations by integrating miRNA-disease associations and lncR

SUBMITTER: Chen X 

PROVIDER: S-EPMC4538606 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature