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The former is an objective, mathematical exercise and the method itself does not require any specific type of fluctuation data as far as the fluctuations belong the same statistical family (so, discontinuities should be avoided in the data).
We find that in addition to intrinsic molecular number fluctuations, there is another type of fluctuation crucial for biological function: the fluctuation due to the slow binding/unbinding of protein regulators to gene promoters.
The third type of fluctuation is due to periodic DNA replication in growing and dividing cells [ 3].
This type of fluctuation was further analysed as in Table 3 by comparing the percentage of positive and negative seroconversion observed in pairs of consecutive samples taken at different time intervals over the course of the study.
Dominant frequencies for each type of fluctuation, assessed from the peak height of frequency spectra, were not significantly different in either tumour type, being both in a low-frequency range, inferior to 3.6 cycles h−1.
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But two distinct types of fluctuation could be generated in the very early universe – waves of density, and gravitational waves.
Because of the complexity of economic phenomena, it may be that there are as many types of fluctuation or cycle as there are economic variables.
Two types of fluctuation and their influence on response properties have been investigated, in particular the delta correlated and a diffusion-type processes.
Here, we show that another property of the signaling system is to detect large changes in light while at the same time, filtering types of fluctuation in light that do not affect photosynthesis efficiency.
We propose (discussion of Figure 7 below) that there are two different types of binding responsible for the two types of fluctuation.
If this is indeed the case, it would account for the different order of amplitudes as a function of nucleotide for the two types of fluctuation.
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