Team:TU Darmstadt/modelling

From 2013.igem.org

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{
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#p-logo { display:none;}
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p {line-height:1.5em; margin:0 0 15px; text-align:justify; color:white;}
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h1 {font-size:1.8em; font-weight:400; margin:0 0 12px;}
h1 {font-size:1.8em; font-weight:400; margin:0 0 12px;}
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#mm_icon2
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{
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position:absolute;
position:absolute;
top:10px;
top:10px;
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left:400px;
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z-index: 5;
z-index: 5;
}
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</style>
</style>
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<center>
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<!-- Taskbar -->
<!-- Taskbar -->
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<img alt="Problem" src="/wiki/images/6/66/Darmstadt_green_Problem.jpg" width="100" height="30"></a>
<img alt="Problem" src="/wiki/images/6/66/Darmstadt_green_Problem.jpg" width="100" height="30"></a>
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<a href="https://2013.igem.org/Team:TU_Darmstadt/solution">
 
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<img alt="solution" src="/wiki/images/8/87/Darmstadt_green_Solution.jpg" width="100" height="30"></a>
 
<a href="https://2013.igem.org/Team:TU_Darmstadt/result">
<a href="https://2013.igem.org/Team:TU_Darmstadt/result">
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<a href="https://2013.igem.org/Team:TU_Darmstadt/modelling">
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<img alt="team" src="/wiki/images/0/06/Darmstadt_green_Modelling.jpg" width="110" height="30"></a>
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<img alt="team" src="/wiki/images/5/53/09._Modelling_(angewählt).jpg" width="110" height="30"></a>
<a href="https://2013.igem.org/Team:TU_Darmstadt/labbook">
<a href="https://2013.igem.org/Team:TU_Darmstadt/labbook">
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<font size="8" color="#F0F8FF" face="Arial regular">Modelling |</font>
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<font size="8" color="#F0F8FF" face="Arial regular">Team |</font>
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<a href="https://2013.igem.org/Team:TU_Darmstadt/Modelling/Statistics">
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<font size="8" color="#F0F8FF" face="Arial regular">Statistics |</font>
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<h2><font size="6" color="#F0F8FF" face="Arial regular">Modelling</font></h2>
<h2><font size="6" color="#F0F8FF" face="Arial regular">Modelling</font></h2>
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<img alt="Icon_statistic" src="/wiki/images/3/33/Icon_statistic4.png" width="590" height="360"></br><br>
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<font size="6" color="#F0F8FF" face="Arial regular">Satistics</font>
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Satistics Baby
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Our first modelling approach focuses on the human practice project. Here, to quantify the distances between the different distributions obtained by the human practice surveys,
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we use an information theoretic model, the Kullback-Leibler-Divergence (DKL).
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Latest revision as of 00:40, 5 October 2013







Modelling | Statistics | Structure



Modelling












Icon_statistic

Statistics


Our first modelling approach focuses on the human practice project. Here, to quantify the distances between the different distributions obtained by the human practice surveys, we use an information theoretic model, the Kullback-Leibler-Divergence (DKL).


Click to read more.










Icon_structure.png

Structure




Retrieved from "http://2013.igem.org/Team:TU_Darmstadt/modelling"