Machine Learning Challenges in Pharmacogenomic Research
Clin Pharmacol Ther
.
2021 Sep;110(3):552-554.
doi: 10.1002/cpt.2329.
Epub 2021 Jul 3.
Authors
Wei-Qi Wei
1
,
Juan Zhao
1
,
Dan M Roden
1
2
3
,
Josh F Peterson
1
4
Affiliations
1
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
2
Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
3
Oates Institute for Experimental Therapeutics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
4
Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
PMID:
34217153
PMCID:
PMC8376798
DOI:
10.1002/cpt.2329
No abstract available
Publication types
Research Support, N.I.H., Extramural
MeSH terms
Algorithms
Electronic Health Records
Genetic Variation / genetics
Genome, Human / drug effects
Humans
Machine Learning
Pharmacogenetics / methods*
Research
Grants and funding
R01 AG069900/AG/NIA NIH HHS/United States
R01 GM139891/GM/NIGMS NIH HHS/United States
R25 GM062459/GM/NIGMS NIH HHS/United States
R01 HL133786/HL/NHLBI NIH HHS/United States
P50 GM115305/GM/NIGMS NIH HHS/United States
U01 HG011181/HG/NHGRI NIH HHS/United States