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Large differences in accuracy of weight estimation in different ethnic groups.
The results of the comparison show that, due to different choices in the two steps, significant differences in accuracy of the estimate exist.
In general the differences in accuracy of prediction between models including different number of SNP are small, and are small compared to their standard error.
The differences in accuracy of portrayal varied across stations and tracks (different SPs portraying the same case).
The authors question whether the differences in accuracy of any weight estimation system are likely to affect outcomes.
Graphs a e in Fig. 6 allow us to estimate inter-subject differences in accuracy of the predictions.
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This may be a key reason why we did not observe any differences in accuracies of GEBV in BayesB between various specifications of s in Figure 2.
However, Luan et al. [ 2] showed small differences in accuracies of genetic evaluations of dairy bulls when using genomic identity-by-descent (IBD) relationships within the known pedigree (traced by markers) instead of the IBS relationships suggested by Meuwissen et al. [ 1].
However, by analyzing the difference in accuracy of the classical approach and ridge regression for different values of N, P, trait heritability, and the fraction of causal variants, we are able to extrapolate the performance of ridge regression for large scale initiatives.
These findings agreed with Lee et al. [33] and Carr et al. [42] who found significant difference in accuracy of indirect technique with angulated implants, while no difference in accuracy of direct technique up to 10° and 15° angulations, respectively.
Thus, we attribute the modest difference in accuracy of the minimum-evolution methods with SPRs to FastTree's heuristics.
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