Sentence examples for datasets are compared to from inspiring English sources

The mean eigenvalues of the factors extracted from the random parallel datasets are compared to the samples' eigenvalues.

The calibrated datasets are compared to ground-based observations, showing an improvement for more than 65% of the sites tested.

The classification accuracies from using wet season, dry season and multi-seasonal datasets are compared to gain insights about the optimal timing for image acquisition.

The numbers of detected time series from the datasets are compared to evaluate the robustness of the methods against noise.

In differential network analysis two networks obtained using the same algorithm but alternative datasets are compared to identify interactions appearing only under a subset of conditions [ 17– 17].

The FDRs of applying our quantile regression method to seven simulated datasets are compared to the corresponding FDRs of applying linear regression based methods to identify DE and DV genes at a predefined threshold of α = 0.05 (for quantile regression) and α l = 0.05 (for linear regression).

The SSU processome protein coverage of the aforementioned datasets was compared to coverage from literature-curated (LC) sources [37] [51].

Genes underexpressed in MM datasets were compared to literature defined concepts in Oncomine, using the built in t-statistics.

Therefore, the major-rule consensus topologies obtained by the 7 different 14-taxon datasets were compared to each other based on each of these datasets using the S-H test.

In order to determine the coverage of regions inferred to be undergoing recent adaptive selection [12], [13], all SNPs detected by the LD decay (LDD) test in the Perlegen and HapMap datasets were compared to the Illumina 1M and Affymetrix 6.0 SNPs.

The results from three datasets were compared to examine the reproducibility of the methods.