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Stochastic thresholds were set at 250 and 400 RFUs for 27 and 28 cycles, respectively, as stochastic effects increased with cycle number.
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Often, the same stochastic threshold is used for each process (typically 150 rfu).
(34) We now apply this general concept to the stochastic threshold (9).
Studies included thermal cycling sensitivity, reproducibility, precision, sensitivity of detection, minimum detection threshold, system contamination, stochastic threshold and concordance.
Recently, it was suggested that logistic regression could be used to relate the stochastic threshold to a defined probability of drop-out in order to properly evaluate the risks associated with a given stochastic threshold.
In this article we introduce a new methodology to calculate the stochastic threshold that a practitioner could easily implement.
If the stochastic threshold is too high, then this increases the number of adventitious matches, which in turn compromises the utility of the national DNA database.
For a single input contone image, two stochastic threshold matrices are used to ensure that the statistics of two output halftone images are correlated only in predetermined regions.
It is worth noting that the stochastic threshold model presented here is formally equivalent to already published stochastic nonlinear integro-differential equations with constant threshold [6 14] when we employ the transformation (v x,t)=u x,t -epsilon g(x)).
This non-linearity can be mostly accounted for by a stochastic threshold incision model, though additional factors likely contribute to the observed relationship between channel steepness and erosion rate.
For example, within the context of the UK National DNA Database, the stochastic threshold is used to decide whether a DNA profile, consisting of a peak in position of allele a, is uploaded as aF or as an aa homozygote.
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