Sentence examples for clusters identified using from inspiring English sources

The stability of each cluster is calculated by finding the average best match between this cluster and the clusters identified using other model clusterings.

The number of clusters identified, using the approach explained in the Materials and Methods section (see below), was K = 10.

They map almost perfectly to clusters identified using either novel CPs of A1 or A2 [see Additional file 3].

Thus, the NSCLC clusters identified using our clustering methodology are associated with different disease outcomes, suggesting that these genomic clusters represent clinically distinct subgroups of the disease.

The clusters identified using the spatiotemporal methods described above may not represent real outbreaks of disease (an increase in the number of cases of a single disease).

Figure 3B shows the 20 clusters identified using our correlation-based clustering approach to measure the similarity of VRVs, at a minimum correlation coefficient threshold of 0.75 (see Figure S2 and Table S1 for additional cluster details).

Region C is part of a 168 kb cluster identified using M-GCAT [ 57] (Additional file 3 Figure S2).

SCO beginning and end represent beginning and end of the gene cluster on the chromosome, where n = number of genes in a gene cluster, RED template refers to the number of genes of a gene cluster identified using RED gene cluster as a training set, and coelicheline template refers to the number of genes of a gene cluster identified using the coelicheline gene cluster as a training set.

Genes within a cluster, identified using the left dendogram, are likely to be co-regulated and involved in related biological functions that correspond to disease progression or atherosusceptability (Table  2 links gene ID and cluster location in the heatmap).

Finally, clusters were identified using convex clustering and NJ-trees with standard parameters.

As with the RecA superfamily, RpoB clusters were identified using the Lek clustering algorithm (see Methods), here creating 17 such clusters that contain at least two members.