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Adaptive Fuzzy Partition (AFP) modelling used a binary split of data, (sensitisers and non-sensitisers) in which only those compounds classed as "NC" in the original data were deemed to be non-sensitisers.
Our modelling used a revised version of the integrated transport and health impact modelling tool, 3 4 implemented in Analytica Lumina 4.4 (see appendix 2 for details of the model's specification).
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The AUC was modelled using a linear regression model.
Scattering effects are modelled using a local gradient shading model.
Peak broadening was modelled using a Lorentzian crystallite size term.
The inflation probabilities can be modelled using a multiple logistic.
Survival was modeled using a binomial error distribution.
Driving forces are modeled using a time discretization.
World modeling using a relationship network with communication channels to entities – Google+, Quora, Foursquare.
Chemistry is modeled using a single step Arrhenius model.
A system is modelled using a multilayer perceptron network.
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