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First, the test of the data being random was conducted using the Mann Kendall method (recommended by the global meteorology department) to determine the existence or nonexistence of any sort of the data trend.
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We assumed an additive genetic model for both the simulation of the data and for the testing of the data using a linear model.
On the basis of the test of multivariate, the data were deemed skewed.
In the testing of the liver disease data set, SVM classifiers outperformed other classifiers.
Then, we perform the significant test of the data obtained to meet the significance of the test requirements of the wl analysis.
The RMSE values were calculated using Eq. 1 on the test folds of the data set.
Detailed description of the calibration is available in Additional file 1.> -wrap-foot> The column test lists the order of the tests in the data collection.
Before testing for differential expression, diagnostic tests were performed to test the consistency of the data between the populations.
The Shapiro-Wilk test was used to test the normality of the data.
The Kolmogorov-Smirnov test was used to test the normality of the data distribution.
The Ryan-Joiner normality test was used to test the distribution of the data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com