gfit is a program for global (simultaneous) regression analysis of data from different types of experiments. It is particularly useful for studying various systems in Biophysics, Biochemistry and Cell Biology. With gfit one can create a model for virtually any type of system using minimal amount of computer code. The interface between models and data is rule-based. It allows to re-use models for many related problems. By providing an open source environment with tools for data analysis, gfit facilitates exchange of ideas (models) and replication of results - essential elements of scientific process.
Globally fit many experiments to a suitable model of your system. gfit was designed for difficult cases of data analysis. Use gfit to globally analyze experiments of different types, to implement complex models (any algorithm can be used), to apply statistical weights to measured data, etc..
MATLAB: current version of gfit uses MATLAB for simulation and fitting.
gfit model: the model determines what experimental data can be imported and analyzed by gfit. See model creation guidelines. More models will be shared through this site. Need help creating a model? Ask at the forum.
experimental data: the data may include many experiments. Each experiment contains variables representing experimental conditions and the measured results. The experiments should be compatible with the specified model. The data can be arranged in a spreadsheet before importing it into gfit.
