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Comparison of Machine Learning Models for the Androgen Receptor.
Zorn, Kimberley M; Foil, Daniel H; Lane, Thomas R; Hillwalker, Wendy; Feifarek, David J; Jones, Frank; Klaren, William D; Brinkman, Ashley M; Ekins, Sean.
Afiliación
  • Zorn KM; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
  • Foil DH; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
  • Lane TR; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
  • Hillwalker W; Global Product Safety, SC Johnson and Son, Inc., Racine, Wisconsin 53404, United States.
  • Feifarek DJ; Global Product Safety, SC Johnson and Son, Inc., Racine, Wisconsin 53404, United States.
  • Jones F; Global Product Safety, SC Johnson and Son, Inc., Racine, Wisconsin 53404, United States.
  • Klaren WD; Global Product Safety, SC Johnson and Son, Inc., Racine, Wisconsin 53404, United States.
  • Brinkman AM; Global Product Safety, SC Johnson and Son, Inc., Racine, Wisconsin 53404, United States.
  • Ekins S; Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
Environ Sci Technol ; 54(21): 13690-13700, 2020 11 03.
Article en En | MEDLINE | ID: mdl-33085465
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Receptores Androgénicos / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Receptores Androgénicos / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos