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Team:Groningen/Modelling/Characterization
From 2009.igem.org
(Difference between revisions)
m (Small fix.) |
(Use relative errors instead of absolute errors.) |
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| Line 84: | Line 84: | ||
|id="E"| | |id="E"| | ||
|id="Ecur"| | |id="Ecur"| | ||
| + | | | ||
|id="Esol"| | |id="Esol"| | ||
|} | |} | ||
| Line 121: | Line 122: | ||
xt = simulate(x0,e[i].time,function(t,d){return arsenicModelGradient(nc,d);}); | xt = simulate(x0,e[i].time,function(t,d){return arsenicModelGradient(nc,d);}); | ||
| - | // Sum (squares of) errors | + | // Sum (squares of) errors, divided by the average value |
| + | var avgv = 0; | ||
| + | for(var j in e[i].AsinT) avgv += e[i].AsinT[j]; | ||
| + | avgv /= e[i].AsinT.length; | ||
for(var j in xt.timeKey) { | for(var j in xt.timeKey) { | ||
| - | cost += Math.pow(e[i].AsinT[j]-xt.AsinT[xt.timeKey[j]],2); | + | cost += Math.pow((e[i].AsinT[j]-xt.AsinT[xt.timeKey[j]])/avgv,2); |
n++; | n++; | ||
} | } | ||
Revision as of 10:54, 30 September 2009
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|---|
- Modelling
- DetailedModel
- Characterization
- Downloads
TODO: Talk about the devices we have and in what way we want to characterize them.
Uptake measurements
| Time (min) | ||||||
|---|---|---|---|---|---|---|
| 0 | 10 | 20 | 40 | 60 | ||
| As(III)exT(0) (µM) | 0 | x | ||||
| 10 | x | x | x | x | x | |
| 20 | x | |||||
| 50 | x | |||||
| 100 | x | |||||
To efficiently look at both time and concentration dependent processes we took samples as in the table on the right. Below we list all results, which have been used for fitting all necessary parameters.
TODO: List results. Take conversion from nmol/mg and mg/ml to µM and Vc/Vs into account.
| best | cur | gradient | solved | |
|---|---|---|---|---|
| v5/K5 | ||||
| v5 | ||||
| K5 | ||||
| E |
