Difference between revisions of "Team:HUST-China/Sort of three genes"

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                   <h3><strong>4. <span class="red-content">Result</span></strong></h3>
 
                   <h3><strong>4. <span class="red-content">Result</span></strong></h3>
                   <p>We generate each group ’s value from 〖10〗^(-5) to 〖10〗^5,and run the simulation. At the beginning, we simply sum the concentration of Lactate outside. But it is not fair for each parameter situation because in some cases the value of final result is much lower than others. So we use the SOFTMAX function to turn the concentration result into scores from 0 to 1. The function is shown below:</p>
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                   <p>We generate each group ’s value from 10<sup>-5</sup> to 10<sup>5</sup>,and run the simulation. At the beginning, we simply sum the concentration of Lactate outside. But it is not fair for each parameter situation because in some cases the value of final result is much lower than others. So we use the SOFTMAX function to turn the concentration result into scores from 0 to 1. The function is shown below:</p>
 
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                       <img src="https://static.igem.org/mediawiki/2018/archive/c/cf/20181014074349%21T--HUST-China--2018-sort-pic1.png" class="img-responsive" ></div>
 
                       <img src="https://static.igem.org/mediawiki/2018/archive/c/cf/20181014074349%21T--HUST-China--2018-sort-pic1.png" class="img-responsive" ></div>
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                         <img src="https://static.igem.org/mediawiki/2018/archive/c/cf/20181014074548%21T--HUST-China--2018-sort-pic1.png" class="img-responsive" >
 
                         <img src="https://static.igem.org/mediawiki/2018/archive/c/cf/20181014074548%21T--HUST-China--2018-sort-pic1.png" class="img-responsive" >
 
                       <p>(the curve: score(x,y) means the sum of the first x parameter conditions’ scores when the model runs for y units of times)</p>
 
                       <p>(the curve: score(x,y) means the sum of the first x parameter conditions’ scores when the model runs for y units of times)</p>
                       <p>The result shows that in more than 10,000 parameter conditions, mles is the most important gene. So we sort three genes by their final scores: mles, lldp, ldhA.</p>
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                       <p>The result shows that in more than 10,000 parameter conditions, mles is the most important gene. So we sort three genes by their final scores: mleS, lldP, ldhA.</p>
 
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Sort of three genes