Sentence examples similar to imputation tests from inspiring English sources

The k-NN imputation tested with different values of k ranging from 1 to 10, have shown that, k = 10 was the optimal choice with relatively smaller RMSECV%% value.

Imputation test sets and reference sets were subsets of genotype data selected from a large multi-breed sheep resource flock.

These results show that the size of the reference set is more important when genomic relationships between imputation test set and reference set animals are lower.

Imputation test sets (target animals) consisted of 1000 purebred Merinos, 1000 mixed crossbred Merinos, or 500 crossbred Merinos (BLxM or PDxM or WSxM).

Genotype imputation refers to statistical inference of un-typed marker genotypes in a set of low-density genotyped animals (imputation test set) based on a group of animals that are genotyped with higher density marker arrays (imputation reference set) [ 13].

In addition to imputing from a random reference set, we also tried to impute from a reference set that was chosen to be informative for all animals in the imputation test set.

For this, genomic best linear unbiased prediction (GBLUP) was performed based on 1000 purebred Merino as the genomic prediction reference population (which was also used as imputation test set (see Fig.  1)).

When the logP value of the imputation test is lower than that of the haplotype analysis, the SNPs at the QTL peak are unlikely to be causal; in contrast when the merge logP is higher, it suggests that the tested variant is consistent with being a quantitative trait nucleotide (QTN), with the caveat that there may be multiple variants with the same SDP that are equally likely to be causal [ 34].

Finally, the post-imputation tests were re-ranked using the same three criteria.

Cross-validation accuracy was >81 % for all of the imputed tests across all imputation methods.

The resulting mismeasurement of imputed lab test results suggests that imputation of test results would provide only limited additional confounding control.