Novel human microbe-disease association prediction using network consistency projection.

ABSTRACT:

Background

Accumulating biological and clinical reports have indicated that imbalance of microbial community is closely associated with occurrence and development of various complex human diseases. Identifying potential microbe-disease associations, which could provide better understanding of disease pathology and further boost disease diagnostic and prognostic, has attracted more and more attention. However, hardly any computational models have been developed for large scale microbe-disease association prediction.

Results

In this article, based on the assumption that microbes with similar functions tend to share similar association or non-association patterns with similar diseases and vice versa, we proposed the model of Network Consistency Projection for Human Microbe-Dise

SUBMITTER: Bao W 

PROVIDER: S-EPMC5751545 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature