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Computing the confidence of the fusion result.
Computing the confidence of P 1.
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We also propose a version of SimBoost, called SimBoostQuant, which computes the confidence of the prediction by using quantile regression to learn a prediction interval for a given drug target pair as a measure of the confidence of the prediction.
We represent this assumption by computing the confidence score of a match, which is obtained by dividing the total score value by the rank value.
The way of computing the confidence technique is detailed in Section 5.2.
An example of computing the confidence bands for PRC by performing a standard non-parametric bootstrap at each time point (weekly data were used) is given in [8].
By creating a large number of reshuffled data sets, we can finally compute the confidence level of a given edge in GO with respect to the estimate of the weight distribution of the same edge obtained in GR.
Published seroepidemiological studies of H1N1-2009 so far have computed the confidence interval of the observed final size as if it were a binomial proportion.
The empirical distribution of each parameter was used to compute the confidence interval of each parameter by taking its 2.5% quantile as the lower bound and its 97.5% quantile as the upper bound of each estimate.
Finally, we compute the confidence level of the connections using the graphs derived from both the original and reshuffled data sets.
In this paper a bootstrap technique was used to compute the confidence intervals of prognostic probabilities when designing and selecting competing scoring systems.
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