Sentence examples for between datasets in the from inspiring English sources

Exact(3)

However, when th 1=10 Mbps is used, the differences between datasets in the percentage of Normal UEs are significantly reduced.

The overall similarity between datasets in the set of common samples was measured using a multivariate extension of the Pearson correlation coefficient called the RV-coefficient.

We determined that our ChIP-seq results and mouse ENCODE data exhibited high concordance, as 60 to 75% of Rnap2 binding sites and 78 to 98% of Ctcf binding sites colocalized between datasets in the three tissues examined (Additional file 2: Figure S5).

Similar(57)

No incongruence was detected between datasets in separate parsimony analyses of the 14 markers.

When all the data from the five different centres was pooled some heterogeneity was revealed between datasets; namely, in the age, frequency of ApoE ε4 in the AD groups and the cognitive status of the MCI patients.

Despite differences between the datasets in the recording of any mechanical ventilation, the PPV was 99%.

We have acknowledged and discussed the differences between these datasets in the revised text and added an additional time point that illustrates this to Figure 5 figure supplement 2C.

Few differences were observed between variable noise datasets in the motif content of ranked peaks (Figure S7), indicating that though all programs lost some peaks in the noise, they tended not to increase spurious peak calls.

Combinations are computed by counting the number of common "dcterms:subject" URIs (http://dublincore.org/documents/dcmi-terms/) between entities of the federated datasets (in the case of the AGRIS dataset, "dcterms:subject" URIs are AGROVOC URIs).

This is a possible explanation for the difference between the TCGA and GSE21034 datasets in the VEGF/Sema signatures found in this study to distinguish aggressive and indolent tumors.

The gEBV accuracy for BayesB_ebv on T4 was similar to the accuracy obtained from the (N) and (P) categories in XVal, which was expected based on the relationships between the datasets in this validation, but the gEBV accuracies using BayesB_ph and SStep were much lower (∼0.20 compared with ∼0.70).

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