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Robust Performance of Potentially Functional SNPs in Machine Learning Models for the Prediction of Atorvastatin-Induced Myalgia.
Ooi, Brandon N S; Ying, Ariel F; Koh, Yong Zher; Jin, Yu; Yee, Sherman W L; Lee, Justin H S; Chong, Samuel S; Tan, Jack W C; Liu, Jianjun; Lee, Caroline G; Drum, Chester L.
Afiliação
  • Ooi BNS; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Dundee, Singapore.
  • Raechell; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Dundee, Singapore.
  • Ying AF; Duke-NUS Graduate School, Singapore, Singapore.
  • Koh YZ; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Dundee, Singapore.
  • Jin Y; Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore, Singapore.
  • Yee SWL; Department of Medicine, Yong Loo Lin School of Medicine, Cardiovascular Research Institute, National University of Singapore, Singapore, Singapore.
  • Lee JHS; NovogeneAIT Genomics Singapore, Singapore, Singapore.
  • Chong SS; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Tan JWC; Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore.
  • Liu J; Genome Institute of Singapore, Singapore, Singapore.
  • Lee CG; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Dundee, Singapore.
  • Drum CL; Duke-NUS Graduate School, Singapore, Singapore.
Front Pharmacol ; 12: 605764, 2021.
Article em En | MEDLINE | ID: mdl-33967749
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Singapura
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Singapura