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 concept of a core microbiome has been broadly used to refer to the consistent presence
of a set of taxa across multiple samples within a given habitat. The assignment of taxa to …

PyMC is a probabilistic programming library for Python that provides tools for constructing
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …

Cellular omics such as single-cell genomics, proteomics, and microbiomics allow the
characterization of tissue and microbial community composition, which can be compared …

The national census is an essential data source to support decision-making in many areas
of public interest. However, this data may become outdated during the intercensal period …

To characterize microbiomes and other ecological assemblages, ecologists routinely
sequence and compare loci that differ among focal taxa. Counts of these sequences convey …

Background Over the last few decades, a growing body of evidence has suggested a role for
various infectious agents in Alzheimer's disease (AD) pathogenesis. Despite diverse …

The microbiome is critical to an organism's phenotype, and its composition is shaped by,
and a driver of, eco‐evolutionary interactions. We investigated how host ancestry, habitat …

ABSTRACT A growing body of data suggests that the microbiome of a species can vary
considerably from individual to individual, but the reasons for this variation—and the …

Comparative glycomics data are compositional data, where measured glycans are parts of a
whole, indicated by relative abundances. Applying traditional statistical analyses to these …