Sentence examples for each cluster was analysed from inspiring English sources

Each cluster was analysed independently by HH mapping and the genes identified in each population cluster were then compared.

Using the same criteria, enrichment within each cluster was analysed for homologs of UVR8-dependent UV-B-induced genes in Arabidopsis leaves [ 54].

Therefore in the present study each cluster was analysed independently of the other clusters.

The association of clinicopathological and molecular variables with each cluster was analysed using continuous β-values and the two-sample proportion t-test.

The corresponding GO terms from each cluster were analysed and the over-represented GO terms for each cluster are also shown in Additional file 8: Table S5.

For TF identification in k-means clusters, the time point with the largest change compared to previous time point for each cluster is analysed.

The genes within each cluster were analysed and the percentage of twenty-six funclasses classes in each cluster was determined [see Additional file 1 – Supplementary Figure. S2]. Figure 3 shows the distribution of ten functional classes throughout the clusters.

To identify the higher level biological themes present in the data, the genes within each cluster were analysed by using the Database For Annotation, Visualization And Integrated Discovery (DAVID) [ 9, 10] with a background containing all genes present on the bovine Affymetrix microarray.

Each identified cluster was analysed on Babelomics suite to search for significant functional enrichment following a grapevine specific functional classification of 12× V1 predicted transcripts [ 82].

By real-time RT-PCR experiments the transcription activity of ermE* promoter in comparison to a native promoter of the friulimicin biosynthetic gene cluster was analysed.

The CPU utilisation of the slave nodes of the Hadoop cluster was analysed using the 'top' command (measures CPU utilisation, process statistics and memory utilisation) while running the LDA algorithm.