Poll [ 44- 46] defined five clusters of species and an ancestral species within extant polypterids based on anatomical features such as relative jaw length, the location and size of the eyes, width of the suboperculum, and proportion of the gular plate.
We define two clusters of interactions; the first being characterised by two proteins with a shared domain which is not sufficient for maintaining the interaction.
SD5-D0-1 andefineD0-2 define two clusters individually but together they define four clusters of the 100 patients.
Based on the PC values, the clustering algorithm allowed us to define five clusters of strains that induced consistent changes in the plantlet phenotypes (Fig. 3).
One way to analyze whether clusters are neighbors is to calculate Voronoi partition of the vector space [29, 30] according to a given set of prototypes, and define two clusters as neighbors if they share a common Voronoi facet.
In order to compare the patterns of expression in hybrids relative to their parents in the context of the entire developmental interval, we used fuzzy c-means soft clustering on the same 2,052 genes described above [ 27], which allowed us to define six clusters which represented major patterns of expression variability over the sampled ontogenic interval.
These patterns defined eight major clusters of genes, which we call "phylogroups".
The PCoA also defined two smaller clusters; one consisting of 11 and the other containing 7 isolates.
In our nested, spatial random-effects Cox model, therefore, we defined two levels of spatial clusters: a first cluster level defined by census divisions, and a second cluster level defined by census tracts within census divisions.
The trypsin coulomb contact clustering defined two families of active compounds with different contact fingerprints, yielding two leaves containing 69%and25%5% of all active compounds respectively.
