Cluster correlation based method for lncRNA-disease association prediction.

ABSTRACT: BACKGROUND:In recent years, increasing evidences have indicated that long non-coding RNAs (lncRNAs) are deeply involved in a wide range of human biological pathways. The mutations and disorders of lncRNAs are closely associated with many human diseases. Therefore, it is of great importance to predict potential associations between lncRNAs and complex diseases for the diagnosis and cure of complex diseases. However, the functional mechanisms of the majority of lncRNAs are still remain unclear. As a result, it remains a great challenge to predict potential associations between lncRNAs and diseases. RESULTS:Here, we proposed a new method to predict potential lncRNA-disease associations. First, we constructed a bipartite network based on known associations between diseases and lncRNAs/protein

SUBMITTER: Yuan Q 

PROVIDER: S-EPMC7216352 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature