A negative binomial latent factor model for paired microbiome sequencing data.

ABSTRACT:

Background

Microbiome sequencing data are often collected from several body sites and exhibit dependencies. Our objective is to develop a model that enables joint analysis of data from different sites by capturing the underlying cross-site dependencies. The proposed model incorporates (i) latent factors shared across sites to explain common subject effects and to serve as the source of correlation between the sites and (ii) mixtures of latent factors to allow heterogeneity among the subjects in cross-site associations.

Results

Our simulation studies demonstrate that stronger associations between two sites lead to greater efficiency loss in regression analysis when such dependence is ignored in modeling. In a case study involving samples collected from a study on the female u

SUBMITTER: Kim H 

PROVIDER: S-EPMC12910815 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature