Difference between revisions of "Team:Manchester/Model/DoE"
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Revision as of 19:28, 30 October 2017
Design of Experiments
Achievements:
1.
2.
3.
4.
Introduction
Design of Experiments (DoE) is a statistical method that allowed us to design the most efficient experiments to determine the factors that influence the expression of our PPK enzyme and the expression of our Eut (microcompartment) proteins. By using DoE, we can efficiently explore a very large experimental space in a small number of experiments, allowing us to test multiple hypotheses at once in a rapid and robust manner. Performing our measurements using the statistical tools of DoE allowed us to develop an improved understanding of the experimental factors affecting protein expression in the Phosphostore system, within the limited time frame available for an iGEM project.
Method
Some screenshots or instruction of how to do it ("a list of input, etc")
Results
Some nice graphs as those already in the presentation. More if possible. Prove that the only few iterations needed to get high optimisation
Conclusion
That this is a technique that works and should be used
