Probe sets were selected for clustering based on the following criteria: (i) P-value of a variance test less than 0.01 and (ii) a robust coefficient of variation (rCV) less than 10 but greater than the 95th percentile of the rCV.
Then, we calculated the value of an average variance extracted (AVE) and composite reliability (CR) of four factors (Table 5).
So, for the fusion of a class corresponding to a smaller value of local variance, an increased number of partial results are necessary.
In our method, we base the experimental design on the expected value of a distribution of variance reductions.
The frequency content of a class corresponding to a higher value of local variance is richer than the frequency content of a class that corresponds to a smaller value of local variance.
Once structural identifiability of the model is established, a formal assessment of the diagonal elements of the inverse of M F can be made to assess the precision of parameter estimates for a candidate design at a value of residual variance of interest.
We determined whether a particular value of the variance differed significantly from a random value, by carrying out permutation tests in which the He values associated with each SNP marker were randomized with respect to chromosomal position.
In order to have the maximum posteriori estimate of the selected class label for input data, an optimal value of prior variance is needed through a rigorous training.
K-means clustering [ 34] was performed for all 3,740 genes, and the expression levels acquired under 10 culture conditions were normalized to a common mean value of zero and a variance of one.
When this method could not be used because of the obtaining of a negative value of the variance, the method based on pooled variances was used to interpret the ANOVA table.
For example, in the case of the genotypes of Figure 4a, this framework yields a value of the variance of 1.6 × 10-4, whish is close to the variance of 1.1 × 10-4 westimatethroughugh sampling.
