Vignette: MOSAICbioacc prediction tool (Delta version)
A. Ratier, C. Lopes, M. Kaag, S. Charles
August 26, 2021
Introduction
The purpose of this document is to introduce you how to use the prediction tool of MOSAIC application. This application is based on the R software1 and especially the rbioacc library (version 0.0.5), to predict internal concentration of a hemical in organism over time by toxicokinetic (TK) models under a Bayesian framework. MOSAIC is developed as an R-Shiny interface (version 1.6.0)2.
If you want to be kept informed, please email us: sandrine.charles@univ-lyon1.fr.
Short presentation
The prediction tool is presented as three different tabs:
- Model definition
- Prediction
- Validation
Model definition is the section where the user can indicate all the inputs required to performed predictions and/or validations.
Prediction is the section where the user can view the output of predictions and download the results.
Validation is the section where the user can upload data for validation and to view the output of validation, as well as download the results.
1 Model Definition
Several cases can be encounter using the MOSAIC prediction tool:
- case 1: use example files;
- case 2: use distributed parameters from previous fit directly done within MOSAIC;
- case 3: use distributed parameters from older version MOSAIC application;
- case 4: use no distributed parameters with single values
All panels for each scenario are illustrated in Fig. 1.1 to 1.5.
1.1 Case 1: example file
Figure 1.1: Case 1: with an example file selected (directly available in MOSAICbioacc
Loading an example file will automatically fill in the field corresponding to the selected data. The user only need to click on the ‘calculate and display’ button to obtain the corresponding predictions (Fig. 1.2.A).
When using example files, the user has also the possibility to change the exposure concentration, as illustrated in Fig. 1.2.B.
Figure 1.2: Internal concentration predictions for an exposure at (A) 0.0004 and (B) 0.1 µg.mL^{-1}.