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The paired samples t-tests or signed rank sum test was used based on data distribution to compare differences between pre-treatment and post-treatment within one group.
To exclude noisy genes that are likely of minor importance for the processes under study, we defined biologically relevant expression based on data distribution.
In this paper, we focus on data distribution management mechanisms (also known as filtering) used for real time training simulations.
Comparison of the results with standard SPI show important differences particularly when SPI assumptions on data distribution are violated.
In this paper, we propose a novel feature which learns discriminative information based on data distribution and shape statistics for pedestrian detection.
However, it needs prior knowledge on data distribution and parameters.
The non-parametric techniques are not based on data distribution and hence not restricted.
Depending on data distribution, results were presented as mean ± standard deviation or median with interquartile range (IQR).
Restrictions on data distribution hinder further development of pathfinding tools, and licensing barriers make it harder to adopt a single framework.
Normality on data distribution is not generally an assumption needed when running c-alpha, and it is found as a cross-validation output in statistical software with NLPCAs.
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There is a list of data products for the ASC archive and a draft on Data Distribution and Dissemination (PostScript).
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