Genome-wide association studies (GWAS) are effectively applied to detect the marker trait
associations (MTAs) using whole genome-wide variants for complex quantitative traits in …

Objectives: We present an up-to-date review of STRUCTURE software: one of the most
widely used population analysis tools that allows researchers to assess patterns of genetic …

Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the
two essential enterprises in genomic research. Due to the great magnitude and complexity …

Salinity stress is a major threat to global food production and its intensity is continuously
increasing because of anthropogenic activities. Wheat is a staple food and a source of …

Big datasets, accumulated from biomedical and agronomic studies, provide the potential to
identify genes that control complex human diseases and agriculturally important traits …

We introduce a new Empirical Bayes approach for large-scale hypothesis testing, including
estimating false discovery rates (FDRs), and effect sizes. This approach has two key …

Causal inference from observational data is a vital problem, but it comes with strong
assumptions. Most methods assume that we observe all confounders, variables that affect …

Statistical models of text have become increasingly popular in statistics and computer
science as a method of exploring large document collections. Social scientists often want to …

Software programs that conduct genome-wide association studies and genomic prediction
and selection need to use methodologies that maximize statistical power, provide high …

Inference of individual ancestry coefficients, which is important for population genetic and
association studies, is commonly performed using computer-intensive likelihood algorithms …