Sentence examples for mean imputation accuracy from inspiring English sources

In the present study, mean imputation accuracy per individual was higher compared to mean imputation accuracy per SNP, which was also reported by Mulder et al.[ 34].

The mean imputation accuracy of FM horses using Impute2 was 92.0%.

This led to an increase in the mean imputation accuracy from 95.3 to 96.8%.

Mean imputation accuracy per SNP from the BovineSNP50 panel to whole-genome sequence data was below 0.46.

However, the change in mean imputation accuracy relative to Method 2 (bpMAF) was small and inconsistent, with an increase in accuracy for ECA26 and a decrease for ECA1.

Does the utility for imputation argue for choosing LDP SNPs to maximise the mean imputation accuracy, or to maximise a minimum (or low percentile of) imputation accuracy; as judged by SNPs or by horses?

Mean imputation accuracies for the three breeds are shown in Table  2.

Methods include: last-observation-carried-forward imputation, regression mean imputation, and multiple imputation.

This means that imputation accuracy could be increased by increasing the number of HD genotypes and by improving the reference population to maximize its relationship with the population to impute.

Average imputation accuracies were split into categories of the closest recent ancestor genotyped and calculated over 10 replications; mean of imputation accuracy calculated as the correlation between true genotypes and imputed genotype dosages, both uncorrected for the mean gene content; standard deviation.

For each scenario and each category, the mean animal-specific imputation accuracy and its standard deviation, the percentage of correctly and incorrectly imputed SNP genotypes per individual and the percentage of genotypes not imputed per individual were calculated across the 10 replicates.