The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability.

Journal: The Journal of pharmacy and pharmacology
PMID: 31724749

Abstract

OBJECTIVES: The aim of this study was to use Gaussian process regression (GPR) methods to quantify the effect of experimental temperature (T ) and choice of diffusion cell on model quality and performance.

Authors

  • Parivash Ashrafi
    The School of Computing, University of Hertfordshire, Hatfield, UK.
  • Yi Sun
    Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
  • Neil Davey
    School of Computer Science, University of Hertfordshire, Hatfield, UK.
  • Simon C Wilkinson
    School of Pharmacy, Keele University, Keele, UK.
  • Gary P Moss
    Medical Toxicology Centre, Wolfson Unit, Medical School, University of Newcastle-upon-Tyne, Newcastle-upon-Tyne, UK.

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