Sentence examples for discrete thresholds from inspiring English sources

We identified non-linear relationships between gene expression and leaf physiology that suggest discrete thresholds at which gene expression changes abruptly during drought stress.

As opposed to discrete thresholds, a wide variety of biological networks exhibit smoothly saturating activation profiles that are well-approximated by Hill functions.

A total of 14 different discrete thresholds for fever were reported in this study confirming that there is not widespread accepted levels or consensus for the diagnosis of fever.

However, this approach still uses discrete thresholds for activation of reactions that may not be consistent with experimental data, and the steady-state predictions of these models are binary [ 39].

For each of discrete threshold values T H, T S, and T C, sets of appropriate detected positions O H, O S, and O C are generated.

One is brutal force, calculating the results for all discrete threshold values and a more sophisticated one using the well-known hill climbing algorithm.

We show that this leads to strong beyond-pairwise correlations that is, correlations that cannot be captured by maximum entropy models that extrapolate from pairwise statistics—as for earlier work with discrete threshold crossing (dichotomous Gaussian) models.

The slope of the protection curve in all of the models we tested favoured a progressive increase in protection with increasing HI titre rather than a discrete threshold that could be applied to each individual.

For each WL, an interpolated threshold value for an arbitrary sequence length can be estimated using cubic spline interpolation from the corresponding discrete winner threshold values shown in Figure 11.

In a similar manner to the short sequence sets, for each WL, an interpolated winner threshold value for an arbitrary sequence length can be determined using cubic spline interpolation from the corresponding discrete winner threshold values of the thirteen long sequence sets shown in Figure 12.

Experimental results, on simulated and real signals, show the superior performance of this proposed filtering over EMD-based denoisings and discrete wavelet threshold filtering.