Sentence examples for between predictions from different from inspiring English sources

Source code is available in Additional file 3. To assess the overlap between predictions from different programs, whole genome predictions were downloaded from the UCSC Genome Browser [ 30] and from the websites associated with the programs.

Ignoring the Poly models, the correlations between predictions from the different models were generally high (>0.9) for line W1.

Overlap between target prediction datasets: there was a considerable difference between the predictions from different datasets (Fig. 1A).

The predicted target sites for miRNAs miR-124, miR-135, miR-30, miR-19 and miR-130 (Fig. 1C and Fig. S1) were considered to be best-supported based on the following criteria: (1) Overlap between target prediction datasets: there was a considerable difference between the predictions from different datasets (Fig. 1 A).

In this study, comparisons between the predictions from different analytical and computational tools as well as open-source packages were carried out, and close agreements have been observed.

Indeed, the overlap between the predictions from different methods is generally fairly small (Yuan et al., 2012).

To define the size of each CNVR in the genome, we used the overlapping region between CNV predictions from different programs.

Correlations between genomic predictions from different methods were higher than 0.96 for W1 and higher than 0.88 for B1 and B2.

We observe a fair amount of overlap between the predictions from different methods, and also many predictions that were unique to a single method or pairs of methods (Fig. 5, Supplementary Fig. S2).

More powerful and convincing are cases in which a more extensive pattern of data can be sought, in effect functional similarity in the mathematical sense of similar relationships between dependent and independent variables, and predictions from different theories of the mechanisms involved pitted against each other in experiments.

Good agreement is demonstrated between predictions from our model and experimental data from different sources, strongly enhancing the confidence in both the validity and usefulness of our model.