Sentence examples for characterizing the differences in from inspiring English sources

The obtained data highlight the importance of studying clay fractions WDC and AC for characterizing the differences in clay aggregation in soils, as well as the importance of humic substances that interact with clay, thus providing different characteristics to the soil matrix.

One such example of its use in characterizing the differences in polymorphs is the case of carbamazepine.

A simple approach to characterizing the differences in the likelihood of backscatter between PFs is to consider the probability of a large angle backscatter event, which we define as an scattering angle that would fall within the cone of acceptance for the fiber probes included in this study.

Breast abscess (Disease/Phenotype, p-value = 5.90 × 10-6) abnormalrmammarymary gland alveolus morphology (Disease/Phenotype, p-value = 7.90 × 10-5) were also found in genes characterizing the difference in survival outcomes between these two biclusters.

However, when a covariate effect (age) is introduced into the model, characterizing the difference in clearance between young and elderly subjects, the overall BSV in the AUC is reduced.

Although the number of parasite samples selected for macrophage infections is small, these data clearly characterize the differences in the behavior between the parasites with different to NO susceptibilities previously described by our group [ 13].

A variety of fatty acid substrates were used to characterize the differences in PHA homopolymer production between RSC02 and LSBJ.

In a further attempt to characterize the differences in Set A and Set B, the sets were used as a test set for a model built from the other set.

To characterize the differences in biofilm formation in more detail, PA14 wild-type and cheR1 mutant cells were tagged with plasmid-borne GFP and biofilm formation was monitored over time.

To characterize the differences in the profile of gene expression between control and LP rats, and to classify genes and biological samples hierarchically, we used the Gene Cluster program [56].

We applied Significance Analysis of Microarrays (SAM) at the 99 percentile confidence level, and 1162 genes with a 0.001 False Discovery Rate (FDR) emerged as a signature that characterized the differences in gene expression between these two groups.