Sentence examples for datasets the reliability of from inspiring English sources

Although our sample of subjects was comparable to those used in many other normative datasets, the reliability of our measures scored on a scale of 1 to 5 was tested by splitting the data randomly in two subject groups.

Combining reference datasets, the reliability of genomic predictions, averaged over four populations and four traits, increased by 10% compared to genomic predictions using national RP alone.

The biggest concern of using statistical network inference algorithms to analyze biological datasets is the reliability of the predicted networks.

Caution should be taken on interpreting these results from the rare-variant analysis of the three WTCCC datasets as the reliability of current microarray based genotyping still needed improvement for MAF <5%.

Caution should be taken on interpreting these results from the rare-variant analysis of the three WTCCC datasets as the reliability of current microarray based genotyping still needs improvement for MAF <5%.> -wrap-foot> adenothe the physical distance (in kb) to the nearest validated SNP.

The data volume describes the availability of dataset and the reliability of related logic results.

For the weighted datasets, Gavin, Krogan-core and Krogan-extended and Collins, the weights of these PPIs are adjusted proportionately to the ones in the PPI datasets which are usually calculated using complicated machine learning approaches that operate on the original noisy experimental datasets to reflect the reliability of the PPI [ 6].

Furthermore, we used two datasets to test the reliability of our methods.

In each of these datasets, we examined the reliability of three cortical measures: cortical thickness, gyrification, and fractal dimensionality both of the entire cortical ribbon and across regional measures of parcellated cortex (62 regions, based on the DKT atlas; [35]).

Whether the incorporation of a broad range of datasets can increase the reliability of network reconstruction is explored by the DREAM competitions that conduct blind assessments of network reverse-engineering approaches [17].

Most of these methods use only one criterion at once and need an entire genome-scale PPI dataset to assess the reliability of each PPI pair.