Sentence examples for significance estimation from inspiring English sources

Hence, using the true distributions of the scores, a considerable amount of queries, those which have a score between 54 and 64, are significant in contrast to the result of the significance estimation within the Gumbel approximation.

The statistical significance (nominal p-value) of the actual similarity score is then estimated relative to this null distribution (details of significance estimation are described in Additional file 1, Section 1.2).

If we take into consideration that there is a weak mutual dependence between each pair of patient distances with the same patient is in both pairs, the significance estimation according to beta distribution with 0.5 and k k−1)/4 degrees of freedom will compensate this weak mutual dependence of inter-patient distances.

Step 3 Significance estimation and multiple-testing correction.

ANOVA tests were used for statistical significance estimation.

HHsearch also incorporates predicted or observed secondary structure (SS) in the process of alignment construction and statistical significance estimation.

Indeed, the groups at the edges are much less representative, which may yield misleading conclusions, especially in the absence of statistical significance estimations of the differences among these groups.

This may inflate significance estimations for segments identified to be shared more often between affected individuals.

Furthermore, via a comparison with BLAST parameters, we show that significance estimations change considerably when using the true distributions as presented here.

Prior to classification, detailed statistical analysis viz., test of significance, density estimation have been performed for identifying discriminating power of the features in between malignant and benign classes.

On the other hand, if only a limited part of the key words tested show significance, the estimation of cell function should be reconsidered by altering the category of the function or by focusing on the speciality of the function.