Sentence examples for inferring an error from inspiring English sources

LoFreq's approach of discriminating SNVs individually by inferring an error probability based on the quality score assigned to individual nucleotides clearly overcomes this problem, although at the expense of recall.

until the method inferred an error rate of <0.05% in the OG data set (at tensomes).

For instance, the value of α is always inferred with an error smaller than 5%.

We determined the efficiency of these measures by inferring the error rate (fraction of bases carrying at least one incorrectly identified SNP) in a pooling setting with different coverage.

While it appears trivial to do so by minimising some form of loss based on the word error rate, in practice successful application additionally requires use of a probabilistic model for inferring error probabilities in parts of misclassified sequences.

We compute a large number (∼100) of models {g i, h j } from suitable random simulations of data; we infer a mean value m and error bar σ on each coefficient.

For the case of labelled sentence examples, it is possible to have a procedure that can infer the location of an error in time.

An advantage of the AU test is that its significance level directly relates to the number of expected false positives (i.e., the probability that a conflict is inferred in error due to chance).

Given the calibrated error probabilities, V-Phaser 2 iterates through the following steps until no further variants are inferred: 1) calculate SND and LPD error probabilities from the data, 2) infer SNVs and LPVs, 3) remove any alignment column in which a variant has been inferred from error probability calculation.

If such branches are equally distributed among datasets, at least 35 datasets should have estimated rate variation less than (μ+2σ)/(μ−2σ); when this is not the case, we infer that error in rate estimation is present and causing more extensive rate variation than expected based on the stochastic substitution process alone.

The 1 SD of uncertainty in satellite-based PM2.5 was 25% as inferred through error propagation of uncertainty in satellite remote sensing of aerosol optical depth, in satellite sampling, and in aerosol vertical profile (Holben et al. 1998; Winker et al. 2010).