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Exact(1)
All the coefficients of the single variables have a significance lower than 10−3; the significance of the whole model is equal to 2.10−6; the adjusted R2 value of the model is equal to 0.74, indicating that 74% of the variance observed in the experimental dataset is explained by this simple model.
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97.6% of the variance of the original dataset was explained by the first two PCs, as shown in the 2-D score plots of PCA results in Figure 2. Frequency band ν1 has the highest weight on the first PC (explaining 81.0% of the variability) while ν2, ν3 and ν4 dominated the second PC (explaining 16.6% of the variability).
Nevertheless, 38% of the variability in the dataset was explained by variables related to site water conditions (Tables 2 and 4).
For our dataset, 17.1% of the variance of the overall dataset was explained by the fit.
AMOVA tests revealed that a significant amount of genetic variation in the D. galeata dataset was explained by the among-lakes component (14%, see Table 4).
By comparing the brain sizes for those species that are represented in both datasets it is clear that most discrepancies between the two datasets are explained by the size of the bird individuals measured.
The details of the dataset is explained in Sect.
The plot represented in Figure 1 shows the proportion of variance in the dataset that is explained by each principal component (PC).
This compositional bias toward adenosines in loops was already observed in several datasets, and is explained by the high percentage of unpaired adenosine nucleotides in several structural motifs [ 68].
A Fisher's Exact test was used to calculate a p-value determining the probability that the association between the genes in the dataset and the canonical pathway is explained by chance alone.
2) Fisher's exact test was used to calculate a p-value determining the probability that the association between the genes in the dataset and the canonical pathway is explained by chance alone.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com