Prediction of the effect of formulation on the toxicity of chemicals
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2017Keyword
Toxicity; Anticancer agentsRights
© 2016 The Authors. This is an Open Access article licensed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/3.0/)Peer-Reviewed
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Two approaches for the prediction of which of two vehicles will result in lower toxicity for anticancer agents are presented. Machine-learning models are developed using decision tree, random forest and partial least squares methodologies and statistical evidence is presented to demonstrate that they represent valid models. Separately, a clustering method is presented that allows the ordering of vehicles by the toxicity they show for chemically-related compounds.Version
Accepted ManuscriptCitation
Mistry P, Neagu D, Sanchez-Ruiz A et al (2017) Prediction of the effect of formulation on the toxicity of chemicals. Toxicology Research. 6(1): 42-53.Link to Version of Record
https://doi.org/10.1039/C6TX00303FType
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1039/C6TX00303F