Sentence examples for datasets for the selected from inspiring English sources

We then compared the gene rankings obtained by PMM performed using both datasets for the selected pathogen.

These results suggest that tracking electronic SADR and SIDR datasets for the selected reportable diseases could produce a high number of false-positive reports; in this study, 81.0% of inpatient and 84.5% of outpatient reports would lack a confirmatory laboratory test result.

Moreover, information about hypoglycemic treatment during the period 1995-1999 waddedded to the dataset for the selected population in order to check the history of its diabetic status.

A step-wise procedure to generate a non-redundant dataset for the selected eukaryotes is described in Figure 1, and it includes four steps.

More precisely, for each of the 24 tissues, we obtained a GET which consisted of the average of the probe values of the three datasets for the 56 selected genes.

To avoid spurious findings, we have selected 27 ADE-related codes that are most frequently used in the Stockholm EPR Corpus, resulting in 27 datasets, where the existence of each ADE-related diagnosis code indicating a particular ADE served as the class label in each dataset; see Table 1 for the selected ADE-related diagnosis codes and their description.

The proposed algorithm provides superior performance for the selected datasets than the robust and widely used ARIMA methodology in predicting time series data.

The first dataset was the full data without any changes and the second dataset had the original data for the selected pathogen and randomized data for the 7 other pathogens.

The average error is about 0.281 % and the maximum error is about 1.365 % for the selected dataset.

Also, when samples were analyzed for their average expression values for the selected dataset, they were classified according to their clinical phenotype i.e. T1-grade 3 and T2/T3-grade 3 were grouped together while T1-grade 2 was set in a more distant location of the 3-scale axis.

The comparison of the HW/SW EFTI implementation with the pure software implementation suggests that the proposed HW/SW architecture offers substantial DT induction time speedups for the selected benchmark datasets from the standard UCI machine learning repository database.