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Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research.
Roell, Kyle; Koval, Lauren E; Boyles, Rebecca; Patlewicz, Grace; Ring, Caroline; Rider, Cynthia V; Ward-Caviness, Cavin; Reif, David M; Jaspers, Ilona; Fry, Rebecca C; Rager, Julia E.
Afiliação
  • Roell K; The Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Koval LE; The Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Boyles R; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Patlewicz G; Research Computing, RTI International, Durham, NC, United States.
  • Ring C; Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Durham, NC, United States.
  • Rider CV; Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Durham, NC, United States.
  • Ward-Caviness C; Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Durham, NC, United States.
  • Reif DM; Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, United States.
  • Jaspers I; Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University, Raleigh, NC, United States.
  • Fry RC; The Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Rager JE; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Front Toxicol ; 4: 893924, 2022.
Article em En | MEDLINE | ID: mdl-35812168
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Toxicol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Toxicol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos