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The present study represents the first use of this computational methodology for modeling nonlinear patterns in molecular genetics.
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Local model networks (LMN) have been shown to be an effective approach for modeling nonlinear systems.
Time series data often contain both linear and nonlinear patterns.
However, ANNs cannot handle both linear and nonlinear patterns equally well [ 18].
However, DNAm levels of some loci showed nonlinear patterns according to age.
A similar nonlinear pattern was also reported for the effect of distance on hospitalisation [ 29].
The nonlinear pattern descriptions could uncover a saturated effect over the hemolytic reaction.
Paclitaxel has been shown to have a nonlinear pattern of pharmacokinetics.
A similar nonlinear pattern in mean risk is observed for both of these scenarios.
Figure 10 Modeling sales patterns.
Then, we compare the motion patterns of possible detections with the modeling motion patterns.
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