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

Studies of the microbiome have become increasingly sophisticated, and multiple sequence-
based, molecular methods as well as culture-based methods exist for population-scale …

Background Following the emergency use authorisation of the Pfizer–BioNTech mRNA
COVID-19 vaccine BNT162b2 (international non-proprietary name tozinameran) in Israel …

Assessing whether long-term exposure to air pollution increases the severity of COVID-19
health outcomes, including death, is an important public health objective. Limitations in …

Abstract Objectives United States government scientists estimate that COVID-19 may kill
tens of thousands of Americans. Many of the pre-existing conditions that increase the risk of …

It is challenging to associate features such as human health outcomes, diet, environmental
conditions, or other metadata to microbial community measurements, due in part to their …

Using a sample from a population to estimate the proportion of the population with a certain
category label is a broadly important problem. In the context of microbiome studies, this …

The increasing availability of single-cell data revolutionizes the understanding of biological
mechanisms at cellular resolution. For differential expression analysis in multi-subject single …

The microbiome is a complex and dynamic community of microorganisms that co-exist
interdependently within an ecosystem, and interact with its host or environment. Longitudinal …

Although metagenomic sequencing is now the preferred technique to study microbiome-host
interactions, analyzing and interpreting microbiome sequencing data presents challenges …