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pyDarwin: A Machine Learning Enhanced Automated Nonlinear Mixed-Effect Model Selection Toolbox.
Li, Xinnong; Sale, Mark; Nieforth, Keith; Bigos, Kristin L; Craig, James; Wang, Fenggong; Feng, Kairui; Hu, Meng; Bies, Robert; Zhao, Liang.
Afiliación
  • Li X; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York, USA.
  • Sale M; Integrated Drug Development Team, Certara, Princeton, New Jersey, USA.
  • Nieforth K; Integrated Drug Development Team, Certara, Princeton, New Jersey, USA.
  • Bigos KL; School of Medicine, John Hopkins University, Baltimore, Maryland, USA.
  • Craig J; Integrated Drug Development Team, Certara, Princeton, New Jersey, USA.
  • Wang F; Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Feng K; Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Hu M; Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Bies R; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York, USA.
  • Zhao L; Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
Clin Pharmacol Ther ; 115(4): 758-773, 2024 04.
Article en En | MEDLINE | ID: mdl-38037471
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Límite: Humans Idioma: En Revista: Clin Pharmacol Ther Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Límite: Humans Idioma: En Revista: Clin Pharmacol Ther Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos