Sentence examples for a clear partitioning from inspiring English sources

This confirmed a clear partitioning of cattle diversity into distinct breeds.

Overall, such high throughput genotyping data confirmed a clear partitioning of the cattle genetic diversity into distinct breeds.

Comparisons of populations from different sources (Table) showed a clear partitioning of genotypic diversity between clinical isolates on the one hand and food or environmental isolates on the other (θ = 0.033 and 0.050, respectively; p<0.0002).

In total, 5,388 transcripts passed the filtering process and were used for the cluster analysis, which showed a clear partitioning of samples based on their disease status, indicating a distinct difference in expression profile between the two sample groups.

So when then the punier mice were later slipped into the same cages as the aggressive rodents, separated only by a clear partition, the big mice acted like thugs.

Analysis of the PCA (t[1]/t[2]) score plots showed that only in the case of samples treated with DENTAMET®, a clear partition of data was observed with a good grouping according to the original cultivar (Ogliarola salentina and Cellina di Nardò).

Therefore, the supervised OPLS-DA analysis gave a good model [1 + 2 + 0, R 2 X (cum) = 0.725, R 2 Y (cum) = 0.728 and Q 2 (cum) = 0.53] with a clear partition between DENTAMET® treated and untreated samples (Fig. 4a).

The unsupervised method (PCA) gave unclear results (see Additional file 1: Figure S3), while the OPLS-DA analysis gave a good model [1 + 2 + 0, R 2 X (cum) = 0.786, R 2 Y (cum) = 0.837 and Q 2 (cum) = 0.489], showing a clear partition between DENTAMET® treated and untreated samples along the first predictive component (Fig. 5a).

In the case of Ogliarola salentina samples, the chemometric analysis of a matrix composed by a reduced number of 1H spectra showed a clear partition between DENTAMET® treated and untreated samples, as reported in the OPLS-DA score plot (Fig. 5a).

A clear partition was generated by the TDQC and the Kainate-NMDA set (Fig 9, bottom, marked B).

In all 5 cross-species comparisons, there is a clear partition between the low p-values of cell invasion, sexual development, transcription factors and CCCH zinc fingers on one hand and the other groups of proteins (Figure 1) and these 4 groups are consistently among the 5 least constrained groups (Table S2).