Interaction effects evaluation for in vitro combinations of two compounds, R package + Simulation code
With the aim to develop better treatment regimens with increased efficacy and/or reduced toxicity, combination therapies have been adopted as the standard of care for various diseases and especially in oncology. A combination of multiple effective drugs encumbers the necessity of methods to evaluate synergistic interaction between compounds for over a century. However, the idea of synergy is not restricted to only the biomedical field as it has been developed across many different disciplines. The first step in the combination therapy development is to evaluate the interaction effects with in-vitro combination experiments.
The internship's mission includes the overview of the current statistical methods to analyze compounds combinations with in-vitro experiments in the case where the relative potency is not constant (maximum effects and/or slopes not shared between the dose-effect curves of single compounds). The methods for explicit detection of synergy will be discussed as well as the proposition of alternative methods like Tallarida model and Hand model. The implementation of methods, including development of a R package called SynergyEvaluation, is conducted with simulations of experimental data. Finally results are presented visually, in order to facilitate the understanding and the comparison between methods.
├── DESCRIPTION
├── packagefile
│ ├── drc2_0.1.0.tar.gz
│ └── SynergyEvaluation_1.0.5.2020.tar.gz
├── package.R
├── R
│ ├── DoseeffectFct.R
│ ├── EstimationFct.R
│ ├── EvaluationFct.R
│ ├── HandmodelFct.R
│ ├── LoeweFct.R
│ ├── SimulationFct.R
│ └── TallaridaFct.R
├── README.md
├── SimulationCode.Rmd
devtools::install_github("jyoh1248/SynergyEvaluation")
The following section is the part of my work where I presented on November 5th in NCES seminar, Sanofi and on November 25th, 2020 in ENSAI.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.