Sentence examples for the width of selection from inspiring English sources

This was very clear when the width of selection function was narrow, but disappeared with when selection becomes weaker.

Mean load was affected most strongly by the width of selection function (Fig. 4), but there was also a strong effect of heritability.

From basic evolutionary theory we know that the level of genetic variation is a key factor, as is the width of selection function.

Fitness (w) for individual i was determined as:

First, the variable (88) Y 2 = var (μ e ) (τ 2 + σ 2 ), measures the variance in desired expression levels μ e relative to the sum of the variances associated with the width of selection τ and the noise of the unregulated promoter σ.

We then set the width of the selection window such that 5% of the cells have expression levels within the selection window.

Note that, in this interpretation, the width of the selection function is inversely proportional to the time for which fitness fluctuations are maintained.

That is, when the desired expression level varies more than the width of the selection window, fitness is optimized by increasing noise so as to ensure the distribution overlaps the desired levels across all conditions.

As illustrated below, comparison of the population's expression levels before and after selection shows that the probability for a cell with log-fluorescence x to be selected can be well-approximated by (69) f (x | μ *, τ ) = exp [ − (x − μ * ) 2 2 τ 2 ], where μ* is the desired expression level and τ corresponds to the width of the selection window.

By comparing the distributions of the population's expression levels before and after rounds of selection (without intervening mutation of the promoters), we found that the probability that a cell with expression level x is selected by the FACS is well-approximated by f (x | μ *, τ ) = exp [ − (x − μ * ) 2 2 τ 2 ], with μ* the desired expression level and τ the width of the selection window.

The probability of surviving selection imposed by the environment in a particular generation is (1)W z,t = exp[-0.5 z - θ t ) / ω ], whexp[-0.5 zhe individual's phenotypic value, θ t is the optimum at time t, and ω2 is the width of the individual selection surface.