Sentence examples for the dataset was evaluated from inspiring English sources

Concordance of the two genes (ND2 and ND4) used to construct the dataset was evaluated using the partition-homogeneity test with the software PAUP* [41].

To perform this reduction, we define an over-populated motif as a motif whose population is greater than would be expected if the HOT SAX hashing algorithm were performed upon a randomly generated dataset which comprises the same number of probe sets and time points as the dataset being evaluated.

Additionally, the agreement among the datasets was evaluated by grouping the Tanimoto coefficients into 10 similarity intervals from 0 to 1 using increments of 0.1.

This stimulated the idea that instances of rare-hom SNPs might be due to the inclusion of a few non-Caucasian subjects in the datasets being evaluated.

The GWAS dataset was evaluated using the ICSNPathway, which showed seven candidate SNPs, five genes, and seven pathways that may contribute to the susceptibility of patients to ESCC.

Thus, at 220 of the 221 microsatellites whose chimpanzee ePCR fragments met our criteria for retention, the similarity of their chimpanzee and human PCR fragment length ranges in the genotype dataset was evaluated together with the location of their chimpanzee and previously reported human [ 74] ePCR fragment lengths within these ranges.

The similarity between the expression profiles of genes across the microarray dataset was evaluated via Pearson's correlation coefficient.

In this study, the entire dataset was evaluated in order to characterize the learning curves of both HEC and LICK and, more specifically, to determine if pre-training HEC has an influence in the LICK learning curve.

The cycling dataset was evaluated for overrepresentation of GO Slim categories to determine whether the maize circadian clock preferentially regulated specific plant processes.

Spatial structure of the mitochondrial dataset was evaluated through an estimation of pairwise FST (haplotype frequencies only) and ΦST statistics (using the Kimura 2-parameter correction), computed using Arlequin v3.1[25], [26].

The performance of the lncRNA profiles in the independent validation dataset was evaluated using the LOOCV procedure described above.