Network-based analysis of vaccine-related associations reveals consistent knowledge with the vaccine ontology.

ABSTRACT:

Background

Ontologies are useful in many branches of biomedical research. For instance, in the vaccine domain, the community-based Vaccine Ontology (VO) has been widely used to promote vaccine data standardization, integration, and computer-assisted reasoning. However, a major challenge in the VO has been to construct ontologies of vaccine functions, given incomplete vaccine knowledge and inconsistencies in how this knowledge is manually curated.

Results

In this study, we show that network-based analysis of vaccine-related networks can identify underlying structural information consistent with that captured by the VO, and commonalities in the vaccine adverse events for vaccines and for diseases to produce new hypotheses about pathomechanisms involving the vaccine and the dis

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC4177205 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature