Imputation allows the inference of unobserved genotypes in low-density data sets, and is often used to test for disease association at variants that are poorly captured by standard genotyping chips ...

Genotype imputation is a powerful approach in genomewide association studies (GWAS) because it can provide higher resolution for associated regions and facilitate metaanalysis. However, bias can exist ...

In finance, data is often incomplete because the data is unavailable, inapplicable or unreported. Unfortunately, many classical data analysis techniques — for instance, linear regression — cannot ...

Demonstrating faster, simpler, more cost-efficient NGS workflows that turn complex agrigenomics data into practical ...