Sentence examples for samples to impute from inspiring English sources

By applying supervised classification, we are able to use qPCR results in a modest number of samples to impute copy numbers into a larger sample for which SNP array signals are available.

We then generated 100 bootstrap samples of censored CO data for each case and, following Lubin et al. (2004), used maximum likelihood to fit the best-fitting model (as noted above) to these bootstrap samples to impute values for the nondetects.

The log-normal distribution with the estimated parameters was then randomly sampled to impute values < LOD.

The basic idea is to consider the unknown Tij values as latent variables and to use sampling to impute their possible values given their underlying distribution and the interval to which they are known to belong.

Moreover, as long as we assume that D does not affect E, we may even use a contemporaneous measurement of E to impute the value of E 0. For instance, if the cause of interest were some genotype rather than a fertility drug, hardly anyone would have criticized the use of a current blood sample to impute the genotype 1 year earlier because pregnancy status is not assumed to affect the genotype.

Ueda (2013) also used KLIPS to estimate intergenerational mobility in Korea and employed a two-sample method to impute actual fathers' permanent earnings using sons' recollections of their fathers' educational levels and occupations when they were 14.

Standard k-nearest neighbor relies on the assumption that the most similar samples across the whole genome will be the best samples with which to impute any genotype.

Since all introns in the 382 genes have not been sequenced, three reference panels: low coverage pilot data in 55 CEU samples (P1.MACH), HapMap 3 unphased (H3.MACH) and phased (H3.PHASE) data [ 11] in 55 CEU samples were used to impute untyped variants of 85,458 introns as well as 2,254 exons in the regions of 382 genes covered by the exon pilot in 55 CEU samples.

For a study sample with existing genotype data, such as array data from genome-wide association studies, a cost-effective approach is to sequence a subset of the study sample and then to impute the rest of the study sample, using the sequenced subset as a reference panel.

First, the genomic coverage reported here might be over estimated by imputing subsets of 1000 Genomes samples using the remaining samples as reference, as the haplotypes are likely to match better than in real world applications where the samples to be imputed are likely from different source populations than the reference.

To account for these types of uncertainty, statistical simulation following the logic of survey sampling is used to impute average unit costs, standard deviations, and confidence intervals.