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A Population-Based Human In Vitro Approach to Quantify Inter-Individual Variability in Responses to Chemical Mixtures.
Ford, Lucie C; Jang, Suji; Chen, Zunwei; Zhou, Yi-Hui; Gallins, Paul J; Wright, Fred A; Chiu, Weihsueh A; Rusyn, Ivan.
Afiliación
  • Ford LC; Interdisciplinary Faculty of Toxicology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
  • Jang S; Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
  • Chen Z; Interdisciplinary Faculty of Toxicology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
  • Zhou YH; Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
  • Gallins PJ; Interdisciplinary Faculty of Toxicology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
  • Wright FA; Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
  • Chiu WA; Departments of Biological Sciences and Statistics, North Carolina State University, Raleigh, NC 27695, USA.
  • Rusyn I; Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, USA.
Toxics ; 10(8)2022 Aug 01.
Article en En | MEDLINE | ID: mdl-36006120
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Toxics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Toxics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos