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<section id="quorum"> | <section id="quorum"> | ||
<h1><b>Quorum Sensing</b></h1> | <h1><b>Quorum Sensing</b></h1> | ||
− | <p> | + | <p> <b>Methods</b> <br> |
+ | During the research Matlab version R2016a has been used. | ||
+ | Because there was no data from the wet lab we assumed that all the parameters in the system were random. | ||
+ | The parameters are all obtained by <b>latin hypercube</b> samples. | ||
+ | Latin hypercube is a statistical method to get random numbers from a box of n by n numbers. For example x = 4 with x is divisions and n = 2 with n is number of samples. You will obtain a box with 4 square times 2 square, give you 24 random numbers. For each parameter one number out of this box is randomly chosen. | ||
+ | |||
</p> | </p> | ||
</section> | </section> |
Revision as of 14:04, 5 October 2016
Quorum Sensing
Methods
During the research Matlab version R2016a has been used.
Because there was no data from the wet lab we assumed that all the parameters in the system were random.
The parameters are all obtained by latin hypercube samples.
Latin hypercube is a statistical method to get random numbers from a box of n by n numbers. For example x = 4 with x is divisions and n = 2 with n is number of samples. You will obtain a box with 4 square times 2 square, give you 24 random numbers. For each parameter one number out of this box is randomly chosen.
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