Sentence examples for two distinguishable clusters from inspiring English sources

pfcrt and pfmdr1 ranked closely to each other, and formed two distinguishable clusters with high scores for gene pair correlations (Fig.  8a).

Interestingly, in cases of all LL strains, the genes transcribed from the leading and the lagging strands of replication are segregated in two distinguishable clusters (with little overlap between them), either along Axis1 or Axis2 or both.

The phylogeny of 38 C. pneumoniae isolates based on 232 sSNPs is shown in figure 4. The tree shows four distinguishable clusters.

> -wrap-foot> wordAD woreadingiNWREADREAD non-word reading, PHONDEL phonological deletion, RAN rapid automatized naming, CMT coherent motion threshold, SST stream segregation threshold The two-step cluster analysis for all four cognitive variables revealed three distinguishable clusters within the dyslexic children (see Fig.  1 for polar plots, bar plots are presented in Fig. S1).

Hoeck et al. [ 28] also found that the Española and San Cristóbal populations, although closely related, form two clearly distinguishable clusters based on microsatellite distance data.

Numerical analysis of AFLP data revealed two clearly distinguishable clusters; one consisting solely of strains isolated from horses and humans (cluster A; Figure 1), the other comprising strains of bovine and ovine origin (cluster B, Figure 1).

The four major distinguishable clusters seen in the lower histogram when viewed from left to right represent patients that are diagnosed mostly by the initial SSM test on their first visit, mostly by the initial SSM test on their second visit, mostly by the culture test on their first visit, and mostly by the culture test on their second visit.

BAPS corroborated this result with significant (P < 0.001) support for three genetically distinguishable clusters.

Dataset 1 is constructed by taking a 100-gene subset of the gene expression time course data of Cho et al. (1998), and may be partitioned into seven easily distinguishable clusters (Fig. 2a).

Samples formed two distinct clusters.

Pretreatment analysis by unsupervised clustering and principal component analysis divided the patients into three distinguishable signaling clusters (non-potentiated, potentiated basal and potentiated signaling).