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Exact(5)

Therefore, the optimal weights obtained in our experiments are generally consistent with the rank of performance.

Moreover, the coefficients of kernels and Laplacians optimized by OKLC show some correlation with the rank of performance of individual data source.

Moreover, the coefficients of kernels and Laplacians optimized by OKLC show strong correlation with the rank of performance of individual data source.

To evaluate whether the optimized weights assigned on individual sources have correlation with the performance, we compare the rank of coefficients with the rank of performance from Tables 3– 6.

For example, in Figure 3, we plot the ROC curves for identifying the true effects of gene expressions for the three groups of genes when K = 1000 and ρ = −0.6, which most closely mimics the real dataset analyzed in Section 5. Supplementary Table S1 shows the rank of performance for the four models in identifying the three groups of genes based on the areas under the ROC curves (AUC) values.

Similar(54)

The sensitivity analysis has also been performed to see the effect of weightage on the final ranking of performance indicators.

They did not reach robust conclusions about the best risk prediction model or the ranking of performance of different models.

Based on the ranks presented in Tables 5 and 6, we calculate the Spearman correlations between the ranks of weights and the ranks of performance on both datasets.

The octagon description along with an explanation of scoring was sent to the institution for their own ranking of performance on research ethics.

As to all the composite bounds, the ranks of performance were R a ≥ R o ≥ R I ≥ R s ≥ R g ≥ R m in most cases.

The magnitude of the percentage reductions in confounding depends on the value selected as the unconfounded value; however, the precise value selected from the published RCT [ 21- 26] does not affect the ranking of performance across scenarios.

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