Gmcoda: Graphical model for multiple compositional vectors in microbiome studies.

ABSTRACT:

Motivation

Microbes are essential components in the ecosystem and participate in most biological procedures in environments. The high-throughput sequencing technologies help researchers directly quantify the abundance of microbes in a natural environment. Microbiome studies explore the construction, stability, and function of microbial communities with the aid of sequencing technology. However, sequencing technologies only provide relative abundances of microbes, and this kind of data is called compositional data in statistics. The constraint of the constant-sum requires flexible statistical methods for analyzing microbiome data. Current statistical analysis of compositional data mainly focuses on one compositional vector such as bacterial communities. The fungi are also an importa

SUBMITTER: Fang H 

PROVIDER: S-EPMC10681862 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature