Counts data with excessive zeros are frequently encountered in practice. For example, the
number of health services visits often includes many zeros representing the patients with no …

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

Background Differential abundance analysis (DAA) is one central statistical task in
microbiome data analysis. A robust and powerful DAA tool can help identify highly confident …

The importance of early cancer diagnosis and improved cancer therapy has been clear for
years and has initiated worldwide research towards new possibilities in the care strategy of …

The gut microbiome has a measurable impact on the brain, influencing stress, anxiety,
depressive symptoms and social behaviour. This microbiome–gut–brain axis may be …

Human gut microbiota is an important determinant for health and disease, and recent
studies emphasize the numerous factors shaping its diversity. Here we performed a genome …

The mammalian gut is colonized by trillions of microorganisms collectively called the
microbiome. It is increasingly clear that this microbiome has a critical role of in many aspects …

Rationale: Few studies have systematically assessed the influence of gut microbiota on
cardiovascular disease (CVD) risk. Objective: To examine the association between gut …

Dysregulation of the gut microbiome is associated with several life-threatening conditions
and thus might represent a useful target for the prevention of dementia. However, the …

After the initiation of Human Microbiome Project in 2008, various biostatistic and
bioinformatic tools for data analysis and computational methods have been developed and …