The 3D MB-PCA dendrograms provides an alternative approach for quantifying group similarities by determining the statistical significance of the group separation in the MB-PCA scores plots.
Both the ITS- and matK gene-derived dendrograms also support an alternative polyploid origin for the Mediterranean morphotype, despite inability to resolve to the level of individual sub-genomes.
An alternative presentation in the form of a dendrogram showing possible structuring into group of high similarity was based on Euclidean distances calculated from standardized values for the traits measured.
Improving on existing alternative, such as graph clustering and the global pruning of dendrograms, this index offers two intuitively appealing features: (1) the score is module-specific; and (2) different choices of threshold correlate logically with the resulting performance, i.e. a stringent cutoff yields high quality predictions, but low sensitivity.
A comparative study establishes that the Miso method performs very well relative to several alternative methods based on the post-processing of threshold graphs or dendrograms.
As an alternative, we should use the Functional Diversity (FD) index [34], based on a dendrogram, to cope with species poor communities (less than 3 species) and thus use the entire range of species richness available in BIODEPTH.
Using the DoS-based Dendrogram (based on the DoS residues predicted by KINspect), we have provided an alternative evolutionary explanation of the human kinome, which we argue, more accurately reflects functional diversity and specificity evolution.
An alternative method for visualizing the patterns emerging from the feature vector method of analysis is to create a dendrogram using agglomerative hierarchical clustering.
Then, ρ t = E t/ ε t maximize ℒ. Starting from a random configuration, we move among all possible sets of dendrograms by performing random swaps between one of the branches of a randomly chosen internal node and the alternative branch at its father level.
Indeed, differences in the cluster dendrograms do occur (Fig. 1).
