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The ability of these eight genes to predict COPD severity based on FEV1 in two public datasets was tested using class prediction in BRB-ArrayTools V3.8.
The reliability of molecular grades in the different datasets and in pooled datasets was tested.
The normality of all datasets was tested using Kolmogorov-Smirnov method.
The normal distribution of the datasets was tested using the Shapiro-Wilk test.
Subsequently, clonal variation within the control and the salt-exposed plant datasets was tested by one-way ANOVA.
The significance of the difference in GO term abundance between the two datasets was tested using the Fisher's exact test with the GOSSIP package [ 49] implemented in BLAST2GO V.2.6.0 [ 39].
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Sample medical, sensory datasets and fire detection datasets are tested on the proposed system.
Sample medical sensory data sets and fire detection datasets are tested on the proposed system.
The skill of the datasets is tested for the Biebrza River catchment, which has a hydrological regime dominated by snowmelt.
Simulated datasets were tested for combinations of the following parameters: basis function, global scaling, low-pass filter, high-pass filter and autoregressive modeling of serial autocorrelation.
Third, both stationary and kinematic datasets are tested.
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Justyna Jupowicz-Kozak
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