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• W2964354311 abstract "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." @default.
• W2964354311 created "2019-08-13" @default.
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• W2964354311 date "2019-07-26" @default.
• W2964354311 modified "2023-09-30" @default.
• W2964354311 title "A machine-compiled database of genome-wide association studies" @default.
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• W2964354311 doi "https://doi.org/10.1038/s41467-019-11026-x" @default.
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