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It was recently suggested that under polygenic inheritance the additive part is the dominating genetic component (H ill et al. 2008) and that under directional selection the rate of change is largely determined by the additive genetic variance, so that attempts to include nonadditive terms in prediction might be, at best, useless or even harmful (C row 2010).
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The results in [6] conclude the ANN prediction model surpasses the LR algorithm in terms of prediction accuracy in the auto-scaling domain.
Despite of performing well in terms of prediction accuracy in some data sets with moderate size, RF still suffers from working in GWAS for selecting informative SNPs and building accurate prediction models.
It achieves the best average rank in terms of prediction accuracy, second in terms of decision tree size and faster induction time than existing ADTree.
In terms of prediction accuracy, a significant improvement in ACC was observed in models that included age for both stepPLR and mob for the stratified male only data.
Among those, the stability-based methods are the most robust and best performing in terms of prediction, but the slowest in terms of time.
Thus, although the regulations in our network are considerably stronger in terms of prediction power, they rarely exclude the transcription factor found in the co-expression network.
DMRcate calls DMRs derived from replicated 450K samples in a competitive manner compared to equivalent implementations in the field, both in terms of prediction and computational time.
In both cases, the results, in terms of prediction errors, are satisfactory.
We assess the performance of the ViennaRNA Package 2.0 both in terms of computational efficiency and in terms of prediction accuracy.
We found that bioinformatics scores based on SELEX SAGE data does better in terms of prediction of physical binding energies as well as in detecting functional sites.
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