Sentence examples for deviations in the dataset from inspiring English sources

The measured and estimated single-mutant fitness values and the double-deletion deviations in the dataset are shown in Figure S1 and Figure 5, respectively.

For example, in the MIST2 trial one of the interactions was 28% larger than the standard deviation, in the AUGIB dataset one interaction had an odds ratio of 2.01 and another an odds ratio of 1.65, and in the PBC dataset one interaction had a hazard ratio of 0.45 and two others a hazard ratio of 0.67.

We scaled and centered expression values for each gene to have a mean of zero and standard deviation of one in the dataset, prior to merging the data from the different datasets.

Finally, we computed descriptive statistics for the deviations in the estimated heritability for the datasets with outliers from the simulated true heritability as the benchmark and compared them with the corresponding deviation of the heritability estimates for the datasets without outliers from the simulated true heritability.

Mean value and standard deviation of the ligand occurrence in the dataset were calculated (μ = 1.80, σ2 = 1.33).

In addition, we also calculated two other parameters indicative of heart rate variability: the SDNN, i.e. the standard deviation of all R-R intervals in the dataset; and the RMSSD, i.e. the square root of the mean of the sum of the squares of the differences between successive R-R intervals (in other words, the standard deviation of the differences of adjacent R-R intervals).

Chi-square tests of deviation from average amino acid content in the dataset were also computed using Tree-puzzle [ 44].

Alternatively, the feature with the maximum SALI value or the standard deviation can be selected: pirenzepine has the highest maximum SALI value in the dataset (4.01) and the second highest standard deviation (0.8).

The effect of outliers on accuracy estimation was evaluated by comparing deviations in the estimated and true accuracies for datasets with and without outliers.

However, the standard deviation of error is significant due to noise in the dataset [55].

Then we calculated the average for these clusters and the standard deviation based on the log2-ratio of gene/protein expression in the dataset.