Negative binomial factor regression with application to microbiome data analysis.

ABSTRACT: The human microbiome provides essential physiological functions and helps maintain host homeostasis via the formation of intricate ecological host-microbiome relationships. While it is well established that the lifestyle of the host, dietary preferences, demographic background, and health status can influence microbial community composition and dynamics, robust generalizable associations between specific host-associated factors and specific microbial taxa have remained largely elusive. Here, we propose factor regression models that allow the estimation of structured parsimonious associations between host-related features and amplicon-derived microbial taxa. To account for the overdispersed nature of the amplicon sequencing count data, we propose negative binomial reduced rank regression (N

SUBMITTER: Mishra AK 

PROVIDER: S-EPMC9325477 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature