A Novel Human Microbe-Disease Association Prediction Method Based on the Bidirectional Weighted Network.

ABSTRACT: The survival of human beings is inseparable from microbes. More and more studies have proved that microbes can affect human physiological processes in various aspects and are closely related to some human diseases. In this paper, based on known microbe-disease associations, a bidirectional weighted network was constructed by integrating the schemes of normalized Gaussian interactions and bidirectional recommendations firstly. And then, based on the newly constructed bidirectional network, a computational model called BWNMHMDA was developed to predict potential relationships between microbes and diseases. Finally, in order to evaluate the superiority of the new prediction model BWNMHMDA, the framework of LOOCV and 5-fold cross validation were implemented, and simulation results indicated th

SUBMITTER: Li H 

PROVIDER: S-EPMC6465552 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature