LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization.

ABSTRACT: LncRNA-protein interactions play important roles in many important cellular processes including signaling, transcriptional regulation, and even the generation and progression of complex diseases. However, experimental methods for determining proteins bound by a specific lncRNA remain expensive, difficult and time-consuming, and only a few theoretical approaches are available for predicting potential lncRNA-protein associations. In this study, we developed a novel matrix factorization computational approach to uncover lncRNA-protein relationships, namely lncRNA-protein interactions prediction by neighborhood regularized logistic matrix factorization (LPI-NRLMF). Moreover, it is a semi-supervised and does not need negative samples. As a result, new model obtained reliable performance in the

SUBMITTER: Liu H 

PROVIDER: S-EPMC5732780 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature