Identification of fever and vaccine-associated gene interaction networks using ontology-based literature mining.

ABSTRACT:

Background

Fever is one of the most common adverse events of vaccines. The detailed mechanisms of fever and vaccine-associated gene interaction networks are not fully understood. In the present study, we employed a genome-wide, Centrality and Ontology-based Network Discovery using Literature data (CONDL) approach to analyse the genes and gene interaction networks associated with fever or vaccine-related fever responses.

Results

Over 170,000 fever-related articles from PubMed abstracts and titles were retrieved and analysed at the sentence level using natural language processing techniques to identify genes and vaccines (including 186 Vaccine Ontology terms) as well as their interactions. This resulted in a generic fever network consisting of 403 genes and 577 gene interactio

SUBMITTER: Hur J 

PROVIDER: S-EPMC3599673 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature