Sentence examples for between samples are more from inspiring English sources

If the opposite statements are true, then differences between samples are more likely due to differences in extractives content (e.g. in PC1, the 137 and 151 Da peaks are on opposite sides of the loadings from the 65, 77 and 91 Da aromatic peaks and the 79 Da peak loads more strongly than the 77 Da peak).

Rather, the relative changes in expression of individual genes between two samples are more informative.

However, given that the remaining three major PC1 loadings coincide with carbohydrate bands, it is likely that overall compositional shifts between leaf and stem cell-wall samples are more significant in their polysaccharide fractions.

This is due to the fact that the content of pores over 0.5 μm is practically the same in SCC and NVC, but for smaller pore sizes, which are therefore only accessed when water under pressure is applied, the differences in porosity between the different samples is more pronounced.

We excluded individual trials that still contained eye movements, muscle artifacts or dropped out channels according to the following criteria: (i) maximum amplitudes within the predefined trial segments of interest were higher than 100 µV, (ii) the maximum amplitude difference between two neighboring samples was more than 75 µV or (iii) the maximum signal amplitude was lower than 0.03 µV.

In accordance with this study, we found that the gene expression differences between LP and C samples were more prominent than differences between NLP and C samples.

Our hypothesis was that genes showing larger differences between HCV+ and HCV- samples were more likely to be related to HCV infection.

Hierarchical clustering analysis reveals that gene expression in metastatic samples is more variable between patients than between different metastatic sites from each patient.

The difference between un- and fluorine-doped samples is more than 0.5 order of magnitude.

For large data sets, the filter approach using significance test for difference between the cancer and control samples is more commonly used due to its simplicity.

Our observations indicated that GC bias among samples was more substantial between sequencing runs than within runs, suggesting that such bias might have been introduced during the sequencing process, perhaps through slight differences in reagent composition and temperatures that led to differences in DNA denaturation and primer hybridization efficiency.