PBHMDA: Path-Based Human Microbe-Disease Association Prediction.

ABSTRACT: With the advance of sequencing technology and microbiology, the microorganisms have been found to be closely related to various important human diseases. The increasing identification of human microbe-disease associations offers important insights into the underlying disease mechanism understanding from the perspective of human microbes, which are greatly helpful for investigating pathogenesis, promoting early diagnosis and improving precision medicine. However, the current knowledge in this domain is still limited and far from complete. Here, we present the computational model of Path-Based Human Microbe-Disease Association prediction (PBHMDA) based on the integration of known microbe-disease associations and the Gaussian interaction profile kernel similarity for microbes and diseases. A

SUBMITTER: Huang ZA 

PROVIDER: S-EPMC5319991 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature