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#'''Doing everything from the GUI'''. This is the best way to start. See (1,2) below.  | #'''Doing everything from the GUI'''. This is the best way to start. See (1,2) below.  | ||
#'''Do only some things''' from the GUI. This is the best way to develop ideas. Use the GUI to generate the mesh (canvas) and create growth factors (morphogens - in other words declare the variables) but capturing your ideas on how the regulatory processes work in, what we call, the interaction function. See (3) below.  | #'''Do only some things''' from the GUI. This is the best way to develop ideas. Use the GUI to generate the mesh (canvas) and create growth factors (morphogens - in other words declare the variables) but capturing your ideas on how the regulatory processes work in, what we call, the interaction function. See (3) below.  | ||
#'''Without the GUI'''. For example, run many examples (instances) of a pre-existing project on a cluster. This is the best way to explore the parameter space of a model for comparison with biological observations. We have used this extensively but the code is not yet ready for general use.     | #'''Without the GUI'''. For example, run many examples (instances) of a pre-existing project on a cluster. This is the best way to explore the parameter space of a model for comparison with biological observations. We have used this way extensively but the code is not yet ready for general use.     | ||
='''1''' In the beginning=  | ='''1''' In the beginning=  | ||
Revision as of 06:35, 6 May 2011
Three ways to use GFtbox
There are three ways to use the GFtbox.
- Doing everything from the GUI. This is the best way to start. See (1,2) below.
 - Do only some things from the GUI. This is the best way to develop ideas. Use the GUI to generate the mesh (canvas) and create growth factors (morphogens - in other words declare the variables) but capturing your ideas on how the regulatory processes work in, what we call, the interaction function. See (3) below.
 - Without the GUI. For example, run many examples (instances) of a pre-existing project on a cluster. This is the best way to explore the parameter space of a model for comparison with biological observations. We have used this way extensively but the code is not yet ready for general use.
 
1 In the beginning
| For tutorial page click here | 
<wikiflv width="192" height="168" loop="true" background="white">InTheBeginning.flv|GPT in the beginning-2011-05-05-000002-0001.png</wikiflv>
 Note: this model should have many more finite elements  | 
2 Adding polariser
| <wikiflv width="192" height="168" loop="true" background="white">InTheBeginning.flv|GPT in the beginning-2011-05-05-000002-0001.png</wikiflv> | 
3 Getting serious: Interaction functions
Interaction functions - programmatic modelling