Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Multi-omics studies, which explore the interactions between multiple types of biological
factors, have significant advantages over single-omics analysis for their ability to provide a …

Large-scale whole-genome sequencing studies have enabled the analysis of rare variants
(RVs) associated with complex phenotypes. Commonly used RV association tests have …

There is considerable inter-individual variability in susceptibility to weight gain despite an
equally obesogenic environment in large parts of the world. Whereas many studies have …

With advances in whole-genome sequencing (WGS) technology, more advanced statistical
methods for testing genetic association with rare variants are being developed. Methods in …

Rare variants contribute significantly to the genetic causes of complex traits, as they can
have much larger effects than common variants and account for much of the missing …

Several two-sample tests for high-dimensional data have been proposed recently, but they
are powerful only against certain alternative hypotheses. In practice, since the true …

There is increasing interest in investigating how the compositions of microbial communities
are associated with human health and disease. Although existing methods have identified …

Background Genome-wide association studies (GWAS) is a major method for studying the
genetics of complex diseases. Finding all sequence variants to explain fully the aetiology of …

Many high-dimensional hypothesis tests aim to globally examine marginal or low-
dimensional features of a high-dimensional joint distribution, such as testing of mean …