Main Content
Import Data
Import, visualize, and preprocess experimental data, including Excel,
CSV, SAS XPORT, and NONMEM
Import tabular data from files to estimate model parameters. Supported file types include Excel®, text, SAS® XPORT, and NONMEM®-formatted files. Visualize and categorize the data in the SimBiology Model Analyzer app or at the command line. Use the time course data of measured drug concentrations to perform noncompartmental analysis (NCA) and calculate PK parameters.
Apps
SimBiology Model Builder | Build QSP, PK/PD, and mechanistic systems biology models interactively (Since R2020b) |
SimBiology Model Analyzer | Analyze QSP, PK/PD, and mechanistic systems biology models |
Functions
groupedData2table | Convert groupedData object to table |
sbionca | Compute noncompartmental analysis (NCA) parameters (requires Statistics and Machine Learning Toolbox) |
sbioncaoptions | Specify options to calculate noncompartmental analysis (NCA) parameters |
sbionmimport | Import NONMEM-formatted data |
sbionmfiledef | NONMEM file definition object for sbionmimport |
sbiotrellis | Plot data or simulation results in trellis plot |
sbioplot | Plot simulation results in one figure |
sbiosubplot | Plot simulation results in subplots |
Objects
groupedData | Table-like collection of data and metadata for fitting in SimBiology |
SimData | Simulation data |
Topics
Supported Formats
- Supported Files and Data Types
Import external data saved in several file formats, such as Excel, text, and NONMEM-formatted files.
NCA
- Noncompartmental Analysis
NCA (noncompartmental analysis) lets you calculate pharmacokinetic parameters of a drug without requiring the assumption of a compartmental model.
App Workflow
- Calculate NCA Parameters and Fit Model to PK/PD Data Using SimBiology Model Analyzer
Calibrate model parameters by performing noncompartmental analysis and fitting to experimental PKPD data using nonlinear regression.
Programmatic Workflow
- Import Tabular Data from Files
Import tabular data from external sources programmatically.