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The predictive ability of the AC sampling was significantly lower than WC, as expected for GP of a dataset showing population structure.
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As a bonus, you'd also collect an an anonymous dataset showing the mortality expectations of people of different ages, ethnicities and genders versus reality.
Experiments performed on angiograms of a dataset show that the proposed algorithm has a Dice score of 81.51 and an accuracy of 97.93.
For each county, the corresponding internal migration dataset, along with a point dataset showing the nodes of the migration network, (Table 3) can be obtained by downloading the corresponding zipped archive associated with the continent in which the country of interest is located.
Moreover, we compared our results with the inter-radiologists consistency on LIDC dataset, showing a difference in average dice score of only 1.98%.
Our 10-fold cross-validation results on a simulated dataset show a remarkable accuracy of 99.7% at the strain-level identification of the organisms in gut microbiome.
Validation using an independent dataset showed a RMSE of 1.1, MB of 0.0, and MR of 1.0 for SSS ranging between ~ 27 and ~ 37 (N = 412).
A comparison, which was restricted to a single dataset, showed that unprocessed fragments can improve modeling results using Logistic Regression [11].
The application of the methodology in a synthetic dataset showed promising results.
Testing of this algorithm on a comprehensive dataset showed significant improvement on prediction accuracy upon currently widely-used programs.
Experimental results evaluated with yeast genetic interactions, TF knockouts and a synthetic dataset shows that our algorithm is significantly better than the existing ones.
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