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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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