NCPCDA: network consistency projection for circRNA-disease association prediction.

ABSTRACT: A growing body of evidence indicates that circular RNAs (circRNAs) play a pivotal role in various biological processes and have a close association with the initiation and progression of diseases. Moreover, circRNAs are considered as promising biomarkers for disease diagnosis owing to their characteristics of conservation, stability and universality. Inferring disease-circRNA relationships will contribute to the understanding of disease pathology. However, it is costly and laborious to discover novel disease-circRNA interactions by wet-lab experiments, and few computational methods have been devoted to predicting potential circRNAs for diseases. Here, we advance a computational method (NCPCDA) to identify novel circRNA-disease associations based on network consistency projection. For start

SUBMITTER: Li G 

PROVIDER: S-EPMC9073279 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature