Understanding the role of the microbiome in human health and how it can be modulated is
becoming increasingly relevant for preventive medicine and for the medical management of …

The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …

Pathogenic variants in genes that cause dilated cardiomyopathy (DCM) and arrhythmogenic
cardiomyopathy (ACM) convey high risks for the development of heart failure through …

Idiopathic autism spectrum disorder (ASD) is highly heterogeneous, and it remains unclear
how convergent biological processes in affected individuals may give rise to symptoms …

Motivation Estimating microbial association networks from high-throughput sequencing data
is a common exploratory data analysis approach aiming at understanding the complex …

Background Data from 16S ribosomal RNA (rRNA) amplicon sequencing present
challenges to ecological and statistical interpretation. In particular, library sizes often vary …

Abstract zCompositions is an R package for the imputation of left-censored data under a
compositional approach. It is pertinent when the analyst assumes that the relevant …

Human health and disease have increasingly been shown to be impacted by the gut
microbiota, and mouse models are essential for investigating these effects. However, the …

Multiple research groups have shown that diet impacts the gut microbiome; however,
variability in experimental design and quantitative assessment have made it challenging to …

In recent years, the focus of activity behavior research has shifted away from univariate
paradigms (eg, physical activity, sedentary behavior and sleep) to a 24-h time-use paradigm …