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A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature
2020
Frontiers in Pharmacology
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
doi:10.3389/fphar.2020.602030
pmid:33343371
pmcid:PMC7748107
fatcat:xj4weej36zallen7hmqucbje3q