Sentence examples for major clusters identified from inspiring English sources

Demographic growth patterns in Guinea-Bissau were examined by analysis of the major clusters identified for HIV-1 CRF02_andA3d A3, respectively.

To reconstruct the demographic history in Guinea-Bissau we focused on the two major clusters identified for the CRF02_AG (cluster 2) and the subsubtype A3 (cluster 1) epidemics, separately.

Differential expression analysis comparing these two major hierarchical clusters identified 1046 unique genes showing at least twofold differential expression at an adjusted p value <0.05 (Additional file 8: Table S2 and Additional file 9: Table S3).

For the most part, these studies have illustrated how single-cell genotyping validates the major mutation clusters identified through population-based analysis while also providing additional insights into ancestral lineage and clonal complexity of tumours.

Two major clusters were identified in the resulting dendrogram (Figure 2).

After performing hierarchical clustering four major clusters were identified by the dendrogram (Fig. 6b).

Eight major clusters were identified for the Kin-2A-GLPL region (Additional File 9, Additional File 10).

Based on semantic grouping of the enriched GO terms using ReviGO [ 27], two major clusters were identified.

A total of seven major clusters were identified for the P-Loop-GLPL region (Additional File 7, Additional File 8).

In total, eleven major clusters are identified (Additional file 1), which represents the coordinated actions of transcription factors to regulate the gene expression.

Three major clusters were identified with dominant expression at E9 (neural crest), E12 E14 (Schwann cell precursor) and E18 P0 (immature Schwann cell) (Fig S1 of Supporting Information).