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Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples.
Zhang, Chun-Yun; Li, Xueshu; Keil Stietz, Kimberly P; Sethi, Sunjay; Yang, Weizhu; Marek, Rachel F; Ding, Xinxin; Lein, Pamela J; Hornbuckle, Keri C; Lehmler, Hans-Joachim.
Afiliación
  • Zhang CY; Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States.
  • Li X; Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States.
  • Keil Stietz KP; Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States.
  • Sethi S; Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States.
  • Yang W; Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States.
  • Marek RF; Department of Civil and Environmental Engineering and IIHR Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, United States.
  • Ding X; Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States.
  • Lein PJ; Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States.
  • Hornbuckle KC; Department of Civil and Environmental Engineering and IIHR Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, United States.
  • Lehmler HJ; Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States.
Environ Sci Technol ; 56(18): 13169-13178, 2022 09 20.
Article en En | MEDLINE | ID: mdl-36047920
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bifenilos Policlorados Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bifenilos Policlorados Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos