MACHINE LEARNING UNCOVERS NOVEL BIOMARKERS OF ANTIHYPERTENSIVE RESPONSE IN THE PHARMACOGENOMIC EVALUATION OF ANTIHYPERTENSIVE RESPONSES (PEAR) STUDY.

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作者： Shahin, M. H. ^[1] ; Gong, Y. ^[2] ; Singh, S. ^[3] ; Beitelshees, A. L. ^[4] ; Chapman, A. B. ^[5] ; Gums, J. G. ^[6] ; Boerwinkle, E. ; Turner, S. T. ; Cooper-DeHoff, R. M. ; Garrett, T. J. ; Johnson, J. A.

作者单位： Univ Texas Hlth Sci Ctr Houston, Human Genet Ctr, Houston, TX 77030 USA ^[1] Univ Maryland, Dept Med, Baltimore, MD 21201 USA ^[2] Univ Chicago, Dept Med, 5841 S Maryland Ave, Chicago, IL 60637 USA ^[3] Mayo Clin, Dept Internal Med, Div Nephrol & Hypertens, Rochester, MN USA ^[4] Univ Florida, Coll Med, Dept Pathol Immunol & Lab Med, Gainesville, FL USA ^[5] Univ Florida, Dept Pharmacotherapy & Translat Res, Gainesville, FL USA ^[6]

发布时间 2020-08-12

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Clinical Pharmacology and Therapeutics

2019年105卷Suppl.1期

S27-S27页

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MACHINE LEARNING UNCOVERS NOVEL BIOMARKERS OF ANTIHYPERTENSIVE RESPONSE IN THE PHARMACOGENOMIC EVALUATION OF ANTIHYPERTENSIVE RESPONSES (PEAR) STUDY.

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MACHINE LEARNING UNCOVERS NOVEL BIOMARKERS OF ANTIHYPERTENSIVE RESPONSE IN THE PHARMACOGENOMIC EVALUATION OF ANTIHYPERTENSIVE RESPONSES (PEAR) STUDY.

Clinical Pharmacology and Therapeutics

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