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case, we take as much as possible the weight of neutrality. | case, we take as much as possible the weight of neutrality. | ||
<br> Based on the points above, we get a new parametric vector after weighting.In our model, we do the | <br> Based on the points above, we get a new parametric vector after weighting.In our model, we do the | ||
− | fitting of the probability density according to the two methods of the parameter vector. | + | fitting of the probability density according to the two methods of the parameter vector: 1.kernel density estimatebsp;2. Gaussian mixed model. |
<div align="center"><img src="https://static.igem.org/mediawiki/2017/3/32/Model-4.png" class="img-responsive" width="60%" height="60%" ></div> | <div align="center"><img src="https://static.igem.org/mediawiki/2017/3/32/Model-4.png" class="img-responsive" width="60%" height="60%" ></div> | ||
− | <br> | + | <br> |
</h4> | </h4> | ||
<br><br><br> | <br><br><br> |
Revision as of 03:31, 31 October 2017