Sentence examples for different imputation of from inspiring English sources

This approach averages the results of multiple CIM runs each with different imputation of missing markers and with unique covariate markers, resulting only one or very few markers with detectible signals after.

At each iteration k, we sample a new from its posterior, subsample the resulting to give, and then calculate RMIPs using in place of in Equation 2. The resulting RMIPs incorporate additional variability because each subsample now includes a potentially different imputation of missing genotypes.

A question that was not investigated in those papers and that we want to answer in this study is how different imputation scenarios (of varying cost and accuracy) translate into accuracy of genomic predictions.

Kappa statistic has been widely used by researchers to evaluate the performance of different imputation techniques on imputing missing categorical data [ 28, 29].

To report the effect of different imputation methodologies on the assessment of radiographic progression in clinical trials.

In this article, results from the multinational phase III RAPID-PsA study of certolizumab pegol (CZP) treatment in patients with PsA are presented in order to discuss the effect of different imputation methodologies on the evaluation of radiographic progression.

The execution of the lda function 50 times in LOO cross-validation mode for each of the datasets (unimodal or integrative according to the different imputation schemes) enables measurement of the accuracy of the predictive model for the case of melanoma class.

We tested the effect of different imputation approaches by comparing the accuracy of breeding value predictions based on datasets with missing values imputed by different methods.

We investigated the performance of the different imputation methods based on the MAF of the imputed SNPs. Figure 3 shows the genotype error rate of the different methods stratified by MAF.

To make a comprehensive comparison of different imputation methods, different proportions (20%, 40 %, 80 and 95%and95masked SNPs in the test population were simulated by randomly masking the existing genotypes on the three chromosomes.

The performance of different imputation programs depends mostly on the data structure, e.g., density of single nucleotide polymorphism (SNP) panels, size of the reference population, and whether related or unrelated individuals were genotyped.