The phrase "accuracy of the imputed" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or research, particularly when discussing the reliability of estimated or inferred values.
Example: "The accuracy of the imputed values is crucial for the integrity of the final analysis."
Alternatives: "precision of the estimated" or "reliability of the inferred".
However, the imputation approach may be limited by the low accuracy of the imputed rare variants.
Accuracy of the imputed data was assessed by masking SNPs genotyped on the Illumina panel and comparing the imputed genotypes to the observed genotypes.
The number k of nearest neighbour samples referenced for imputation may affect the accuracy of the imputed values when kNN methods are used (see Tables 5 and 6).
Specifically, the accuracy of the imputed values were compared with the measured values from the dataset before it was used to impute the unknown values for the same test.
It is also important to include auxiliary variables (i.e. those variables that are not included in the analysis model but are potential predictors of missingness and/or the variable with missing data) in the imputation model which can be used to improve the accuracy of the imputed values [ 17, 18].
The accuracy of the imputed genotypes was assessed for four different scenarios including 50, 100, 200 and 400 animals as reference population.
We assessed the accuracy of the imputation by comparing the imputed HLA-DRB1 alleles to the genotyped HLA-DRB1 alleles in a subset of 1894 samples.
A predictor for the accuracy of an imputed site generated by minimac is the r ^ 2, a quantity calculated by comparing the variance of observed genotype scores with the variance of expected genotype scores to estimate the squared correlation at a marker between the true allele counts and the estimated allele counts (Li et al. 2010).
Moreover additional analyses within the 50K dataset indicate that small error rates of the imputed genotypes will have no notable effect on the accuracy of genomic selection.
The performances of the methods were compared using the following criteria: call rate of true genotypes, accuracy of genotype prediction, and accuracy of genomic evaluations using the imputed genotypes.
The maximum accuracy obtained for sire imputation in real data was around 97%. Genotyping errors prevent a 100% accuracy of imputing the sire genotype.
