This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...

Figure 1: A GWAS for a simulated trait with two causal SNPs randomly chosen from a real A. thaliana SNP data set. GWAS data were simulated by adding phenotypic effects to real genotypic data from A.

Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead to many analytical challenges. Various methods for functional data analysis have ...