A machine-compiled database of genome-wide association studies.
Nat Commun
; 10(1): 3341, 2019 07 26.
Article
em En
| MEDLINE
| ID: mdl-31350405
ABSTRACT
Tens of thousands of genotype-phenotype associations have been discovered to date, yet not all of them are easily accessible to scientists. Here, we describe GWASkb, a machine-compiled knowledge base of genetic associations collected from the scientific literature using automated information extraction algorithms. Our information extraction system helps curators by automatically collecting over 6,000 associations from open-access publications with an estimated recall of 60-80% and with an estimated precision of 78-94% (measured relative to existing manually curated knowledge bases). This system represents a fully automated GWAS curation effort and is made possible by a paradigm for constructing machine learning systems called data programming. Our work represents a step towards making the curation of scientific literature more efficient using automated systems.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Bases de Dados Genéticas
/
Estudo de Associação Genômica Ampla
Tipo de estudo:
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article