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

The microbiome represents a hidden world of tiny organisms populating not only our
surroundings but also our own bodies. By enabling comprehensive profiling of these …

There is heightened interest in using high-throughput sequencing technologies to quantify
abundances of microbial taxa and linking the abundance to human diseases and traits …

It is common in modern prediction problems for many predictor variables to be counts of
rarely occurring events. This leads to design matrices in which many columns are highly …

High throughput sequencing data collected to study the microbiome provide information in
the form of relative abundances and should be treated as compositions. Although many …

Changes in woody biomass over centuries to millennia are poorly known, leaving unclear
the magnitude of terrestrial carbon fluxes before industrial-era disturbance. Here, we …

Compared with other research fields, both microbiome and metabolomics data are
complicated and have some unique characteristics, respectively. Thus, choosing an …

Metagenomics is an unobtrusive science linking microbial genes to biological functions or
environmental states. Classifying microbial genes into their functional repertoire is an …

One of the major research questions regarding human microbiome studies is the feasibility
of designing interventions that modulate the composition of the microbiome to promote …

Background Understanding the relation between the human microbiome and modulating
factors, such as diet, may help researchers design intervention strategies that promote and …