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Mining the Human Phenome using Semantic Web Technologies: A Case Study for Type 2 Diabetes

The ability to conduct genome-wide association studies (GWAS) has enabled new exploration of how genetic variations contribute to health and disease etiology. However, historically GWAS have been limited by inadequate sample size due to associated costs for genotyping and phenotyping of study subjec...

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書誌詳細
主要な著者: Pathak, Jyotishman, Kiefer, Richard C., Bielinski, Suzette J., Chute, Christopher G.
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2012
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3540447/
https://ncbi.nlm.nih.gov/pubmed/23304343
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