Sentence examples similar to the dataset means from inspiring English sources

For example, for each dataset uploaded to SEEK, the JERM describes what type of experiment it was, what was measured, and what the values in the dataset mean.

Depending on the dataset, mean count in the data, and the number of additional counts added, the enhanced methods may increase sensitivity by 20%40%%.

Usually, after quality control step and normalisation of the dataset, mean methylation levels are calculated for each CpG site and are compared between groups of subjects in order to identify significant differences or correlations.

In order to prevent this redundant selection of several masses per peak, we grouped mz-values located close to each other (closer than σ p, one fourth of the given peak shape) and, after calculating their mean value, move it uphill the dataset mean spectrum so that it gets in the local maximum of the mean spectrum.

This would therefore support model 4. It is possible, however, that the small average difference in latencies between correct and premature trials (< 1 s) and the small number of premature trials in the dataset meant that small differences in firing rate gradient between correct and premature trials could not be detected by the current analysis.

The "share" section of the workplan template reminds programmers to list all the datasets meant to be transferred to the lead site, as well as any supplemental files such as logs and PDF reports.

The separation of migrant and resident samples in the Sashin Creek dataset means other factors could also (due to different selection pressures, patterns of linkage disequilibrium or drift) cause segregation that overlaps with phenotype.

Briefly, DWD projects data points onto the normal vector of a class (dataset) - separating hyperplane as calculated by a modified Support Vector Machine SVMM) and sub-tracts the class (dataset) means.

The size of the BSRBR-RA dataset means that this analysis had sufficient power to investigate the RR of cancer for individual TNFi compared to sDMARD.

Net interstate migration from WA is low[ 9] and linkages with the deaths dataset meant the denominator data for specific age periods were more accurate.

The fact that the Pre-diagnosis data was a subset of the full dataset meant that applying the All-data model to Pre-diagnosis observations would have artificially inflated accuracy, due to information leakage between training and test data.