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High-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African Americans

Motivation: With complex traits and diseases having potential genetic contributions of thousands of genetic factors, and with current genotyping arrays consisting of millions of single nucleotide polymorphisms (SNPs), powerful high-dimensional statistical techniques are needed to comprehensively mod...

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書誌詳細
主要な著者: Cosgun, Erdal, Limdi, Nita A., Duarte, Christine W.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3087957/
https://ncbi.nlm.nih.gov/pubmed/21450715
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr159
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