Therefore, we used a simulation to define minimal enrichment thresholds enabling us to identify gene clusters given by DAVID for further analysis, as previously described [46].
When data are generated only at high concentrations/doses, it is difficult to determine whether the dose response curve in question is best described by a linear (no threshold), supralinear, threshold, or hormetic model.
By using a DLNM with a linear threshold model for temperature, it was found that the exposure response relationship for CVD admissions was described by a 'V' shape with a threshold temperature (of minimum CVD admissions) of 26°C.
Through the use of a DLNM with a linear threshold model for temperature, it was found that the exposure response relationship for total, cardiovascular and respiratory attendances was described by a 'V' shape with a threshold temperature (of minimum attendance count) of 22°C.
Moreover, neurons that display intrinsic oscillations are likely to be dynamically close to an Andronov-Hopf bifurcation, hence their firing threshold might be better described by a curved manifold rather than by a fixed voltage threshold.
This is described by a simple piecewise linear function (3) with threshold value x c.
When the density is lower than a threshold value, the dynamics is described by a nonlinear diffusion equation.
The simplicity of such models is also appealing from a theoretical perspective, and for a threshold described by an Ornstein Uhlenbeck process it has recently been shown that analytical (and non-perturbative) expressions for the first-passage time distribution can be obtained [20].
Thresholds are well described by a power function (straight line on log/log coordinates).
At this threshold, these sequences could be described by a single consensus sequence representing the group and can thus be considered as an identical epitope.
