Article

PGxCorpus: a Manually Annotated Corpus for Pharmacogenomics

2019-01-29

Abstract excerpt

Pharmacogenomics (PGx) studies how individual gene variations impact drug response phenotypes, which makes knowledge related to PGx a key component towards precision medicine. A significant part of the state-of-the-art knowledge in PGx is accumulated in scientific publications, where it is hardly usable to humans or software. Natural language processing techniques have been developed and are indeed employed for gu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 991b9ba5-a65d-55dc-a024-928e24ef5dfd
DOI: 10.1101/534388

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

PGxCorpus: a Manually Annotated Corpus for PharmacogenomicsDOI 10.1101/534388Read

Predicting non-coding RNA function using Artificial IntelligenceSemantic proximity Read

Predicting non-coding RNA function using Artificial Intelligence.Semantic proximity Read

eGARD: Extracting associations between genomic anomalies and drug responses from textSemantic proximity Read

A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions.Semantic proximity Read

Extracting phenotypic information from the literature via natural language processing.Semantic proximity Read

ProPheno 1.0: An online dataset for accelerating the complete characterization of the human protein-phenotype landscape in biomedical literatureSemantic proximity Read

A mutation-centric approach to identifying pharmacogenomic relations in text.Semantic proximity Read

Extracting and characterizing gene-drug relationships from the literature.Semantic proximity Read

Leveraging a pharmacogenomics knowledgebase to formulate a drug response phenotype terminology for genomic medicine.Semantic proximity Read

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational researchSemantic proximity Read

Identifying genotype-phenotype relationships in biomedical text.Semantic proximity Read

RDscan: Extracting RNA-disease relationship from literature Using pre-training modelSemantic proximity Read