Predicting lncRNA-Protein Interactions by Heterogenous Network Embedding.

ABSTRACT: lncRNA-protein interactions play essential roles in a variety of cellular processes. However, the experimental methods for systematically mapping of lncRNA-protein interactions remain time-consuming and expensive. Therefore, it is urgent to develop reliable computational methods for predicting lncRNA-protein interactions. In this study, we propose a computational method called LncPNet to predict potential lncRNA-protein interactions by embedding an lncRNA-protein heterogenous network. The experimental results indicate that LncPNet achieves promising performance on benchmark datasets extracted from the NPInter database with an accuracy of 0.930 and area under ROC curve (AUC) of 0.971. In addition, we further compare our method with other eight state-of-the-art methods, and the results illus

SUBMITTER: Zhao G 

PROVIDER: S-EPMC8854746 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature