MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation.

ABSTRACT:

Background

Studies have shown that miRNAs are functionally associated with the development of many human diseases, but the roles of miRNAs in diseases and their underlying molecular mechanisms have not been fully understood. The research on miRNA-disease interaction has received more and more attention. Compared with the complexity and high cost of biological experiments, computational methods can rapidly and efficiently predict the potential miRNA-disease interaction and can be used as a beneficial supplement to experimental methods.

Results

In this paper, we proposed a novel computational model of kernel neighborhood similarity and multi-network bidirectional propagation (KNMBP) for miRNA-disease interaction prediction, especially for new miRNAs and new diseases. First, we

SUBMITTER: Ma Y 

PROVIDER: S-EPMC6927119 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature