A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature.

ABSTRACT: Text mining in biomedical literature is an emerging field which has already been shown to have a variety of implementations in many research areas, including genetics, personalized medicine, and pharmacogenomics. In this study, we describe a novel text-mining approach for the extraction of pharmacogenomics associations. The code that was used toward this end was implemented using R programming language, either through custom scripts, where needed, or through utilizing functions from existing libraries. Articles (abstracts or full texts) that correspond to a specified query were extracted from PubMed, while concept annotations were derived by PubTator Central. Terms that denote a Mutation or a Gene as well as Chemical compound terms corresponding to drug compounds were normalized and the se

SUBMITTER: Pandi MT 

PROVIDER: S-EPMC7748107 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature