Sentence examples for predictions to represent from inspiring English sources

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System noise can then be incorporated into model predictions, to represent all processes that are not explicitly described by the ODE model, by formulation of an SDE model.

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The remaining signal is then studied using finite impulse response linear prediction filters to represent the driven portion of the linear dynamics that describe the coupling between solar wind speed and electron flux.

In our study, we chose to develop prediction envelopes to represent this facet of uncertainty.

Put simply, neuronal activity tries to suppress prediction error to represent the states of the world; this is perceptual inference.

Because combining several identical trees produces no gain, the rationale behind DF is use of individual trees that are different (i.e., heterogeneous) yet comparable in their prediction accuracy to represent the association of structure and biological activity.

However, recent analysis has shown that between 1969 and 1989 malaria prevalence declined marginally and finally rose again by 1989 to levels similar to 1969 [ 12] and therefore, when summed as maximal prediction, likely to represent a reasoned, spatially relative, measure of the worst case-scenario of P. falciparum transmission intensity in this area [ 45].

Thus, these predictions are likely to represent previously unknown functional predictions between each TF regulatory pathway and context, which further demonstrates that ChIP-PED can discover known and unknown TF-active biological contexts.

Thus, the complete orthogonalization of multichannel input data and sequential nature of the modified SPMLSs make it possible to feed back the delayed forward prediction error signals to represent the unknown input noise signals of original ARMA processes.

Since most complex quantitative traits are associated with multiple QTL rather than a single QTL, the same 42 QTL used for single-QTL prediction were summed to represent a polygenic trait and whole-genome training and local (±1, ±2, ±5, ±10, ±50 and ±100 SNPs flanking the QTL) predictions were done with the 50 or 770 K SNP panels using BayesC (Fig.  3).

Even if the GrapeMiRNA database contains all the predictions that were produced by FindMiRNA, the online version is limited to the 5,778 selected exon predictions that are supposed to represent the most reliable subset of the total FindMiRNA output (Table 4).

Prediction intervals were calculated to represent the range of predicted AG at given A1C levels (23).

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