Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation.

ABSTRACT: Studies have shown that microbes exist widely in the human body and are closely related to human complex diseases. Predicting potential associations between microbes and diseases is conducive to understanding the mechanisms of complex diseases and can also facilitate the diagnosis and prevention of human diseases. In this paper, we put forward the Matrix Decomposition and Label Propagation for Human Microbe-Disease Association prediction (MDLPHMDA) on the basis of the dataset of known microbe-disease associations collected from the database of HMDAD and the Gaussian interaction profile kernel similarity for diseases and microbes, disease symptom similarity. Moreover, the performance of our model was evaluated by means of leave-one-out cross validation and five-fold cross validation, and th

SUBMITTER: Qu J 

PROVIDER: S-EPMC6399478 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature