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Exact(4)
As shown in Fig. 1 and Table 1, there is no significant difference in the dataset coverage except for 1989, in which the available data were obtained for only three months.
The proposed method on experiments performed in [8] has an average accuracy equal to 100% (these experiments are like experiments A to D with some difference in the dataset and also the number of images used for enrollment).
The difference in the estimated incidence rates between the two studies can be explained by the difference in the dataset, methods used in each study to identify incidence cases, and the population characteristics in the study regions.
Five genes were also selected that showed the largest, statistically significant differences in the dataset of microarrays primed with MTPs, but that due to lower power showed no statistically significant difference in the dataset of microarrays primed using oligo-dT.
Similar(56)
Despite the differences in the dataset lengths and the differences in the range and variability of θm, σθ, Tz, Hs, and Hmax, we found that the range and variability of Hmax/Hs are very similar for the four storm datasets.
Principal Components Analysis (PCA) is a mathematical technique used to reduce the number of variables in the dataset and is used as a visualisation technique to observe similarities and differences in the dataset.
We used the Dunn's multiple comparison test for global differences in the dataset.
Dunn's Multiple Comparison Test was used for global differences in the dataset.
To account for platform stratification or phenotypic differences in the dataset, cohort should always be included as a covariate.
Dunn's Multiple Comparison Test was used for global differences in the dataset followed by a posthoc test for selected pairs (p* < 0.05; **p < 0.01; ***p < 0.001).
First, the datasets were normalized using quantile normalization to ensure that inherent large-scale expression differences in the datasets based on different sources and laboratories were minimized.
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