Sentence examples for variance in selection from inspiring English sources

The corrected coefficient of variation for frequency dependence was determined using the variance in selection coefficients at high and low densities, over the average selective coefficient, corrected for the small sample size.

Clearly, a global assessment of the retention of polymorphism in C. rubella due to balancing selection will require a genome-wide analysis, but our present data allows us to get a first sense of the variance in selection patterns across R genes.

Then, natural selection acts on the phenotype, where we implement stabilizing selection for optimal trait θ W with variance in the selection surface V S ; the inverse of this variance represents the strength of selection.

Decreasing the variance in the selection surface (Fig. 6E) increases selection strength and therefore causes a shallower fitness trough at a lower degree of maladaptation in the cultured population (θ C closer to 1).

In order to observe variance in feature selection within the training set generated at the top most level, selection-frequencies fs for each feature were generated as follows.

This is reflected in the variance in voxel selection across the 50 different Split-half analyses for each IQ measure (see Fig. 4).

This indicates that only 80% of the genetic variance in the selection candidates was captured by the markers in the reference population, due to differences in LD and allele frequencies of QTL between the reference population and the selection candidates.

This proportion of the genetic variance in the selection candidates captured by SNPs in the reference population is the maximum accuracy of genomic prediction for those populations based on the used SNP chip [ 39].

Another deterministic formula using population parameters overestimates the accuracy of across-population genomic prediction, because the SNPs in the reference population cannot capture all of the genetic variance in the selection candidates.

However, this formula may still be useful because of its simplicity, and is expected to be much more accurate when the proportion of genetic variance in the selection candidates is known with reasonable accuracy and included in the formula.

For across-population genomic prediction, the genetic correlation between populations has to be taken into account, because it limits the part of the genetic variance in the selection candidates that can be explained by the reference population.