It is possible to note evident correlations among the morphological variables (Area with the associated Box Width - Box Height – Perimeter and Fractal Dimension with the associated Roundness) on one hand and among the chemical variables (Na-Cl, Al-Si-K-O, Zn-Cu and among all the remaining chemical elements) on the other hand.
In conclusion, the combination of cognition network technology and Bayesian network analysis provides an insight into morphological variables associated with transition of cancer cells between invasion modes.
To determine whether or not parasite infection showed any association with morphological variables, a linear model with Gaussian error distributions was constructed with wing length as the response variable.
We also performed island-wise regression analyses, the results of which (excluding spurious significance for O'ahu, which has marginal sample size N = 12) demonstrated that three reproductive morphological variables significantly correlated with FCA-like allele length on younger islands only (Table 2).
Therefore, we carried out a principal component analysis with the morphological variables.
Plot modelled vigour classification was re-estimated with only three morphological variables and compared to the original classification.
The analysis of selected variables indicates that dendritic features were most useful to distinguish pyramidal cells from interneurons when compared with somatic and axonal morphological variables.
Although R2 values were relatively low, as might be expected from subtle developmental influence, slopes were similar: allele length always increased with values of quantitative morphological variables.
Foot length had a high positive correlation with PC2 score, and head width had a negative correlation with PC2 score, while the other three morphological variables had low component loadings (<0.12).
Long term selection on species means (macroevolutionary changes) is expected to be independent from the structure of genetic correlations among morphological variables, depending only on selection gradients [ 25, 26] associated with specific adaptive peaks.
