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For all methods, the tests were performed in non-de-aerated solutions under unstirred conditions.
In order to determine the correlation between the algometric methods, the tests were performed using a randomized cross-sectional design.
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However, there has been little consistency between the methods, the test materials, the viral challenge and the contact time.
In contrast to common over-representation methods, the test does not require arbitrary cut-off criterion for studied probe sets.
For both methods the test statistic was computed every 2.5 cM along the whole genetic map.
In order to illustrate the real possibilities of this method, the tests were conducted again.
Applying the MDR method, the testing data results were always not significant (at P > 0.05).
We put four methods to the test: does anything really target belly fat?
Then, we evaluate the two methods over the test set.
One student, Sawyer DeVuyst, is on his way to Los Angeles to put Calcaterra's methods to the test.
Watch the clip above to see HuffPost Live's Caitlyn and Caroline put some of these common methods to the test.
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CEO of Professional Science Editing for Scientists @ prosciediting.com