Team:Paris/Modeling/Implementation

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== Parameters Finder Programs ==
== Parameters Finder Programs ==
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The experimental datas consist typically in two tables, X_data (various concentrations of the transcription factor) and Y_data (corresponding output values, deduced from the fluorescence of the reporter GFP).  
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=== the datas ===
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The experimental datas consist typically in two tables, <span style="color:#0000FF;">X_data</span> (various concentrations of the transcription factor) and <span style="color:#0000FF;">Y_data</span> (corresponding output values).  
* controlling X_data : thanks to the prior characterization of the inductible promoters that control the transcription factor concentrations, we can deduce from the <span style="color:#0000FF;">Inv_f1.m</span> and <span style="color:#0000FF;">Inv_f2.m</span> functions the necessary concentrations of ''aTc'' and ''arabinose'' to introduce in the medium to get the wanted concentrations of transcription factor.
* controlling X_data : thanks to the prior characterization of the inductible promoters that control the transcription factor concentrations, we can deduce from the <span style="color:#0000FF;">Inv_f1.m</span> and <span style="color:#0000FF;">Inv_f2.m</span> functions the necessary concentrations of ''aTc'' and ''arabinose'' to introduce in the medium to get the wanted concentrations of transcription factor.
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* getting Y_data : the linear conversion between the fluorescence of GFP at maturation and its concentration gives us directly the expected datas.
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* getting Y_data : the linear <span style="color:#0000FF;">conversion</span> between the fluorescence of GFP at maturation and its concentration gives us directly the expected datas.
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=== Parameters Finder for our Example : &#131;5 ===

Revision as of 18:38, 27 October 2008

Implementation


[Back to "Workflow on an Example"]

We use Matlab for all implementations.

Parameters Finder Programs

the datas

The experimental datas consist typically in two tables, X_data (various concentrations of the transcription factor) and Y_data (corresponding output values).

  • controlling X_data : thanks to the prior characterization of the inductible promoters that control the transcription factor concentrations, we can deduce from the Inv_f1.m and Inv_f2.m functions the necessary concentrations of aTc and arabinose to introduce in the medium to get the wanted concentrations of transcription factor.
  • getting Y_data : the linear conversion between the fluorescence of GFP at maturation and its concentration gives us directly the expected datas.

Parameters Finder for our Example : ƒ5

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