Sentence examples for imputation target from inspiring English sources

We consider imputation target lengths of 100 kb, 500 kb, 1 Mb, and 2 Mb, each time adding 450-kb flanking regions.

First, we select template individuals based on maximal differences among the template individuals, whereas Pasaniuc et al. (2010) select template individuals based on similarity to the imputation target.

This improvement in imputation accuracy is robust to changes in reference panel size, marker density, and length of the imputation target region.

We have introduced a theoretical model of genotype imputation accuracy, employing the coalescent framework to model the ancestry of an imputation target haplotype and a set of reference haplotypes.

To evaluate the impact of our parameter choices, we modify this basic design by changing the length of the imputation target, the reference panel size, and the number of genotyped SNPs in a study sample while maintaining the other parameters fixed as described above.

Our model allows us to investigate sampling designs in the frequently occurring scenario in which imputation targets and templates are sampled from different populations.

Imputation of target groups was performed with and without pedigree information to assess the robustness of the proposed method with population imputation only, or with both family and population imputation.

A range of approaches are available for follow-up, ranging from in silico approaches (based on genotype imputation) to targeted genotyping or targeted sequencing.

Finally, we considered whether the length of the target imputation region has an effect on imputation accuracy.

Imputation for a target element is estimated as a function of k Y values in the reference dataset that have X values that are closest, using a measure of statistical proximity, to the X values of the target element (Magnussen and Tomppo 2014).

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