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As the data exhibited non-normality and heteroscedasticity (P<0.05), a 10 log transformation was employed.
Differences between the lines in all measured phenotypic parameters were tested by an unpaired Student t-test on untransformed data as the data exhibited normal distribution.
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On the other hand, PCA represents the data as a combination of vectors along which the data exhibited by the highest variability (or variance).
The data exhibited several periodicities.
As such, the data exhibit a hierarchical structure, i.e., the repeated observations are nested within individuals, and the individuals are nested within couples.
Figure 5C illustrates the measured frequency difference as a function of L. The data exhibit an apparent bifurcation near L = 1, beyond which phase drifting occurs over time.
The experimental data exhibited the same trend as the simulation results, thus confirming the existence of low velocities and the appearance of recirculation around the isolation tool.
As we anticipated, our data exhibited a positive correlation between the number of binding sites identified and the sample input amount, as increasing amounts of input chromatin lead to a higher number of binding sites.
This parametric test was used as the data largely exhibited normal distribution, as evident from the Shapiro-Wilk test.
The goal is to see whether the real data exhibit the same property as we found with synthetic data in Section 2.2: the feature pairs with higher obtains higher detection rate.
The SSI data exhibit similar characteristics as the AD data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com