Sentence examples for predictions by computing from inspiring English sources

We determined accuracy of the predictions by computing the Pearson correlation between the predicted and the measured score improvement for all 34 subjects.

We generated these predictions by computing the average probability of recurrence arising from each UniFrac distance.

In addition, we inject simulated events in both clinical and OTC data streams to evaluate the predictions by computing the Receiver Operating Characteristic curves of a threshold detector based on predicted outputs.

Here we test these predictions by computing different indices of within and between population diversity, mainly using a dataset obtained merging original and published data on the Hill Tribes.

A handful of theoretical studies access the accuracy of the REs and the LNA predictions by computing finite molecule number corrections to both approximations [ 20- 22], a task which can be carried out analytically only for some simple systems.

They were used to evaluate our TFBS and the inferred TF-target predictions by computing the True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN) rates for some human transcription factors.

The probabilistic approach allows one to capture the temporal behaviour of queues, and to measure the uncertainty of a queue state prediction by computing the evolution of its probability in time, assumed any temporal distribution of the arrivals.

We then used Amelia II to impute the 204 masked data with various input parameters and assessed the performance of the prediction by computing the Pearson correlation coefficient between the median of multiple imputations and the actual measurement (Figure 4).

We tested this prediction by computing the ratio of HMGD1 to H1 with respect to the distance to DHSs.

These lists are then used to evaluate the accuracy of Slider's SNPs prediction by computing the probability of a single base mismatch to reflect a true SNP as a function of its read weight, Figure 2. We can see that mismatches that are in reads with higher weight are more likely to represent actual SNPs.

Furthermore, this approach can also be used for the construction of 95% prediction intervals by computing the associated percentiles of the ensemble of predictions.