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The normality of the distribution of datasets was checked with Kolmogorov-Smirnov test.
Figure 3a shows the distribution of datasets as the ratio within each study of the number of probes with higher CV in males, divided by the number of probes with CV higher in females.
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Plotting the distribution of dataset items by year of publication reveals an approximate correspondence between the stages of conceptual evolution named above and the annual rates at which the sampled records of the public discourse on nuclear waste made the pages of the New York Times.
Before applying ordinary linear regression analyses, the distributions of datasets were confirmed for normality.
P-value statistics were calculated from the distribution of these datasets.
This method makes the distribution of different datasets as similar as possible while conserving the meaning of original values.
Given a known probability distribution of a fact dataset, ME model that is consistent with the distribution of this dataset is constructed with even probability distributions of unknown facts [ 29– 31].
The distribution of the dataset sizes associated with each protein is shown in Fig. 1.
The insufficiency of labeled training data for representing the distribution of entire dataset is a major obstacle in various practical data mining applications.
The boxplot has become the standard technique for presenting the 5-number summary of the distribution of a dataset, which entails the minimum and maximum range values, the upper and lower quartiles, and the median (Potter 2006).
Patient use patterns and seasonality have a considerable effect on the distribution of the dataset, an effect that must be considered when designing the autoregressive model.
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