Sentence examples for between both datasets was from inspiring English sources

However, these two types of combined datasets could perform well, and the performance difference between both datasets was not significant.

A good linear correlation between both datasets was observed, with a coefficient of 0.85 (p<0.01) and a slope of 0.72.

Correlation between both datasets was observed for 11 of the 44 proteins in this group (9 upregulated and 2 downregulated).

The overlap for the top N-th most abundant microRNAs between both datasets is highly significant.

The ratio scores are then summarized in box plots and the difference between all the ratios of both datasets is calculated with a non-parametric, two-sided Wilcoxon rank-sum test implemented in R. Figure 2 illustrates this evaluation step.

For example, the average multiplication factor (the mean average of the bottom rows in tables 2 and 3) between each exon category for both datasets is 36 (with a standard deviation of 36).

These gene sets with significant differential expression between N0 and N+ tumors in both datasets are involved in extracellular matrix remodeling (MMPs, MMP regulating pathways and the uPA system), hypoxia and angiogenesis (HIF1α regulated angiogenic factors and HIF1α regulated invasion) (Table 4 and 5, Figure 1).

Additionally, the correlation of intracellular M. bovis BCG expression between the biological replicates of both enriched datasets was comparable with the non-enriched datasets (0.93 and 0.94, respectively), verifying that the enrichment procedure was repeatable and robust, and did not introduce any bias to the intracellular mycobacterial transcriptome.

The number of identical sequences between these datasets was determined using a Perl script and divided by the sum of number of complete transcripts in both datasets.

Thus, the difference in DRP reliabilities between two datasets was largest for fertility.

Significance of enrichment in a comparison between two datasets was performed by two sample z-test.