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In addition, to estimate the coverage of computational predictions, we computed the fraction of newly added experimental annotations that had been previously computationally predicted.
To statistically validate the predictions, we computed the frequentist coverage probability for each calculation (Supplementary file 1E ).
Based on these predictions, we computed the likelihood of the ensemble of runs observed in the odor gradient.
Finally, in order to give a statistically significance to our predictions, we computed 1000 shuffled versions of the three analyzed lincRNAs and we compared the score of the original comparisons with respect to those obtained by unrelated sequences.
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To quantify the long-term agreement or disagreement between the 1D and the 2D predictions, we compute an approximation of the rotation numbers after N iterations for both maps.
To evaluate the performance of our method in coaxial stacking prediction, we computed both the sensitivity and positive predictive value (PPV) on the number of correctly predicted coaxial stacks.
To test this prediction, we computed the similarity of the moral opportunists' activity patterns to the GA IA pattern difference map for each parcel and condition (see Methods).
For each secondary structure prediction, we computed the exact distance between the donor site and the branchpoint sequences (d s ) using the shortest-path algorithm.
In the prediction step, we compute the marginal predictive distribution mean and covariance as 1 begin{array}rcl@ hat{mathbf{x}}_{k|k-1} &=& int mathbf{f}(mathbf{x}_{k-1} p(mathbf{x}_{k-1} pathbf{y}_{1:k-1}) dmathbf{x}_{k-1}|mathbf{yay} (6).
To compute link-prediction accuracy, we compute the probability of a link between two cells using each model, trained via 10-fold cross-validation.
In order to exemplify the possible use of this classification for predictions over long terms we computed 'worst-case' scenarios of earthquake-triggered landslide events for two geographically and seismotectonically very distinct regions: the Vrancea seismic region and the South Tien Shan (see 'Scenarios' in Tables 2 and 3 below).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com