Sentence examples for most robust value from inspiring English sources

The proposed robust minimax synthetic biology design method can predict the most robust value of k i from the perspective of stochastic game.

In anticipation of limited FFPE tumor section RNA availability, we prioritized the 14 microarray-derived genes comprising the Buck-14 signature into a minimal set of high priority genes showing the most robust prognostic value across the two pooled expression microarray datasets described in our previous report (training set (n = 199) and validation set (n = 75), respectively) [ 22].

In the whole group, the BDI-II depression scores showed a significant positive correlation with thalamic and temporal cortical K values, with the most robust correlations found for the thalamic values (r = 0.63; p = 0.004), that remained significant even after Bonferroni correction for multiple correlations (Additional file 1: Table S1, Fig. 2).

The statistical analyses, especially for raw materials, identified set point values, which were most robust with respect to the lot-to-lot variability of raw materials while keeping the product quality within the acceptance criteria.

We have found that the Bayes B method was the most accurate method to predict breeding values and was the most robust against changes to the model underlying genetic variation.

The LD-thinned datasets provide the most robust results because the probability of seeing an overlap p value equal to or less than the original analysis p value by chance is unlikely.

To the best of our knowledge, the rs76546355/rs116799036 association described here is the most robust association ever reported with BD (unadjusted P-value = 2.51 × 10−69).

Since the CV appears to have generated the most robust effect sizes, we repeated the ES-simulation for baseline values of the ADAS-Cog [20].

The entry of significance level (p value) was set to 0.10 to arrive at the most robust model.

It should be noted that for singular or nearly singular problems, one could solve the LS problem by using singular-value filtering on the design matrix, which is the most robust technique.

The long slide in portfolio values could hurt consumer spending, which has been the economy's most robust support.