Sentence examples for mutual significance from inspiring English sources

In two cases the relationship was reflected in mutual significance of one's error in the other's model: Medicare and Medicaid, and Medicare and private insurance.

We ranked our predicted genes B in increasing order of their mutual-exclusivity significance to generate a mutual-exclusivity (ME) ranking.

CLR computes the significance of mutual information by assembling a background distribution from the mutual information scores of all other microarray probe sets in the compendium.

In order to establish statistical significance of mutual information scores, we used the fact that a mutual information score can be regarded as a log likelihood ratio statistic, which itself is approximately chi-square distributed for sufficiently large sample size.

These include defining the statistical significance of mutual co-expression ranks [ 27] or defining a top kth threshold [ 28] as described earlier.

1 18 28 Furthermore, problems in the contact between the GPs and the SIOs have been reported, 29 and SIOs have stressed the significance of mutual understanding in that context.

By including data-specific assessment of the significance of mutual information, we have enabled the identification of a reasonable root for an arbitrary dataset, as well as the identification and elimination of spurious features.

By this methodology, it was determined that a minimum of 407 students should be selected per each group to reach an adequate statistical significance for mutual comparisons of age and gender groups.

The significance of mutual information and Jaccard coefficient for the comparison of two sets of CTFPs was tested against 1000 pairs of random sets of TF of the sizes of the two compared sets.

An estimation of the statistical significance of mutual co-expression ranks [ 21] showed that HRR and MR values ≤ 350 and 200 respectively were significant (P < 0.01), and therefore these were applied as a generalised threshold for obtaining biological relevant relationships in grapevine.

Potential relationship between these genes was modeled by using nonlinear correlation analyses, mutual information associated to significance analysis [ 11, 12], which are proven to be more accurate than linear statics techniques even if the latter are simpler to implement [ 13– 17].