About Simurg
Simurg environment represents a unique easily-deployable and operatable software platform that seamlessly merges novel model-based techniques and algorithms with existing well-established software and workflows in a convenient GUI in order to perform the broadest spectrum of model-based analyses relevant for quantitative pharmacology.
Objectives
- Data handling and processing.
- Exploratory data analysis and quality check.
- Solving the direct problem for mathematical models based on various types of differential equations.
- Parameter estimation procedures for non-linear and linear systems with or without random effects.
- Development of regression models for various types of data (binary, categorical, etc.).
- Meta-analysis and meta-regression.
- Model development in Bayesian paradigm.
- Generation of reports based on the results of the analyses.
Simurg environment modules
- Data management module - semi-automatic data processing, visualization and quality check.
- NLME module - mathematical modeling of dynamical data using hierarchical modeling with frequentist and Bayesian approach suitable for both empirical and mechanistic models.
- MultiReg module - expands the range of data types and associated mathematical methods a modeler can use within Simurg environment.
- Reporting module - compile and update modeling reports in various formats.