A knowledge-driven conditional approach to extract pharmacogenomics specific drug–gene relationships from free text
- 31 October 2012
- journal article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 45 (5), 827-834
- https://doi.org/10.1016/j.jbi.2012.04.011
Abstract
No abstract availableThis publication has 27 references indexed in Scilit:
- Using text to build semantic networks for pharmacogenomicsJournal of Biomedical Informatics, 2010
- Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed AbstractsPLoS Computational Biology, 2009
- Generating Genome-Scale Candidate Gene Lists for PharmacogenomicsClinical Pharmacology & Therapeutics, 2009
- Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full textBMC Bioinformatics, 2009
- Predicting drug side-effects by chemical systems biologyGenome Biology, 2009
- The future of biocurationNature, 2008
- Creating and evaluating genetic tests predictive of drug responseNature Reviews Drug Discovery, 2008
- Translating Pharmacogenomics: Challenges on the Road to the ClinicPLoS Medicine, 2007
- Manual curation is not sufficient for annotation of genomic databasesBioinformatics, 2007
- Network analysis of FDA approved drugs and their targetsMount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine, 2007