Data vignettes for the application of response surface models in drug combination analysis
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Nathaniel R Twarog1, Nancy E Martinez1, Jessica Gartrell2
1Department of Chemical Biology and Therapeutics, St. Jude Children's Research Hospital, Memphis, TN, United States.
Abstract:
This data set contains the data used in Twarog et al. (2021) to examine the robustness and utility of response surface models in drug combination analysis. It includes simulated experimental data for the evaluation of traditional index methods, as well as a processed library of interaction metrics evaluated on the Merck OncoPolyPharmacology Screen (O'Neil et al., 2016), the scripts used to implement those metrics on all tested combinations in that screen, and scripts to evaluate the performance of those metrics in comparison with real-world mechanistic classifications. Finally, the data set includes data from several published and unpublished drug combination experiments, and scripts which allow the analyses of those experiments to be replicated and applied to new data.
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