Team:HUST-China/Modelling/Wet-lab data analysis
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Revision as of 09:06, 25 October 2013 by HUST LiChen (Talk | contribs)
Fitting
Furthermore, we make comparison between data from wetlab and drylab. In this process, our data from experiment and simulation matches well, which is a promising and satisfying result.
Here starts the comparison between pET-28a single transformed cells and cotransformed cells.
For the first step, a Q-Q plot is used to compare two groups of data explicitly. Q-Q plot is used to compare whether two groups of data come from same distribution regardless of time dimension. In other words, well-matched Q-Q plot is one of the necessary but not sufficient conditions for judging whether two groups of data are similar to each other. Here, we present the Q-Q plot between pET-28a single transformed cells and cotransformed cells:
![](https://static.igem.org/mediawiki/2013/c/ce/HUST_Q-Q_Plot_of_Two_Groups.png)
In KS test, the null hypothesis is that these two groups are same. We get the p-value of this test:p=2.0470e-10;
Thus we can conclude that null hypothesis is rejected, in other words, we can conclude that these two samples come from different population.
Then, in this part, we focus on discussion whether oscillatory behavior of cotransformed cells is only a Brown movement.
In this part, we use spline interpolation to get more data from the curve, which makes our analysis more precise, and there is little flaw doing it, since the presumption is that the curve should be smooth, which is obviously true.
![](https://static.igem.org/mediawiki/2013/7/71/HUST_after_spline_interpolation.png)
Thus, null hypothesis is rejected, in other words, we can draw the conclusion that there is oscillatory behavior of this group of cells.