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| − | <h1>Validation</h1>
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| − | <h2>Validation</h2>
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| − | <h3>Step 1</h3>
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| − | <p>We pick a organism from the 29 organisms(from no.1~no.29) <b>one by one</b> as 29 experiments . Then respectively use the <b>remaining</b> 28 organisms to screen the minimal gene set again and compare the results with the completed(29 organisms) one to get the <b>overlapRatio</b>.</p>
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| − | <img src="/wiki/images/a/a6/Team-UESTC_Software_table.jpg">
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| − | <p>The line chart is as follow:</p>
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| − | <img src="/wiki/images/3/38/Team-UESTC_Software_figure2.1.1.jpg">
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| − | <p>The <b>variance of the overlapRatio</b> is 0.000479</p>
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| − | <p>From the line chart and the variance, we could easily get a conclusion that all the experiments’ overlapRatios are <b>more than 90%</b> and <b>vary slightly</b>, which means our strategy is <b>accurate</b> and <b>stable</b>.</p>
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| − | <h3>Step 2</h3>
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| − | <p>Then let’s move to step 2. In step 1 we proved that our strategy is stable and accurate. Next, we compare the result with other two results(<b>Gil, Mushegian&Koonin</b>) which has got the minimal gene set by using other methods to prove our method is <b>reliable</b> and <b>significant</b>.</p>
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| − | <img src="/wiki/images/thumb/f/fb/Team-UESTC_Software_figure3.jpg/800px-Team-UESTC_Software_figure3.jpg.png">
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| − | <p>From the flow charts, unlike these two groups we have fewer genes in our minimal gene set, and have a higher overlap numbers for having 190 same genes with the Gil, and 156 genes with the Mushegian&Koonin’s result.Only 5 genes are different from other two groups. After this step, it’s obvious that our result is reliable and stable.</p>
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| − | <h3>Step 3</h3>
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| − | <p>In step 3, we try to get the MCCAP’s calculating time. We test the experiment no.1~no.25(4 organisms ~ 28 organisms like step 1&2) in our 42% ratio retaining method to get the running time.</p>
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| − | <p>The bar chart is as follows:</p>
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| − | <img src="/wiki/images/b/b3/Team-UESTC_Software_times.png">
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| − | <p>From the bar chart , as the increasing number of organisms, the running time increase gradually. But when we use all of the organisms from CEG data base. We still only spend less than 0.5s to get the results. The efficiency of MCCAP’s calculating can be accepted, and MCCAP did well in this aspect.</p>
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| − | <p>@2015 Designed & Developed by <span class="green_em">UESTC_SOFTWARE</span> iGEM</p>
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